940 results on '"Double sampling"'
Search Results
102. Time-to-Digital Converter for Low-Power Direct Time-of-Flight System
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Xu, Guo (author) and Xu, Guo (author)
- Abstract
Depth sensing technology has developed rapidly recently due to its broad applications. Time-of-Flight (ToF) is a popular technology in depth sensing because of its advantages in high measuring accuracy and low complexity in image processing. ToF technologies are divided into two kinds: indirect time-of-flight (iToF) and direct Time-of-Flight (dToF). Compared to the iToF, dToF can detect targets at a longer distance by directly calculating the flight time of the laser. To obtain time information, the dToF system requires a Time-to-Digital Converter (TDC). This thesis proposes a system-level model to optimize the TDC parameters for a dToF system used in an autofocus system of a mobile phone. According to the simulation result of the system modeling, a ring-based TDC is chosen and built using a shared and duty-cycled Voltage-Controlled Oscillator (VCO). To decrease the DNL of the TDC, chopping comparators are used in this design. In addition, to save power and area, a new method called double sampling is used to align the coarse and fine phases of the ring based TDC. The proposed TDC achieves a resolution of 100 ps and a DNL of −0.27/+0.37 and an average power of 0.179 mW/TDC, which are smaller than that of state-of-the-art TDCs used in dToF systems. SMIC 55BSC technology is used to design and tape out the TDC., Electrical Engineering | Microelectronics
- Published
- 2022
103. Control or Verify Phase
- Author
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Allen, Theodore T.
- Published
- 2006
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104. A Class of Exponential Regression Type Estimators for Population Variance in Two-Phase Sampling
- Author
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A. Chatterjee, G.N. Singh, and A. Bandyopadhyay
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Double sampling ,study variable ,auxiliary variable ,chain-type ,Exponential ,regression ,Probabilities. Mathematical statistics ,QA273-280 - Abstract
This article deals with the problems of efficient estimation of population variance in two-phase (double) sampling. Using information on two auxiliary variables, a class of chain exponential to regression type estimators has been proposed and its properties are studied under two different structures of two-phase sampling. Superiority of suggested class of estimators over some existing ones is established through numerical illustrations. Suitable recommendations to the survey statistician are also made.
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- 2017
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105. Double sampling monitoring schemes: a literature review and some future research ideas
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Jean-Claude Malela-Majika, Philippe Castagliola, Collen M. Motsepa, and Sandile Charles Shongwe
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Statistics and Probability ,Acceptance sampling ,Double sampling ,Modeling and Simulation ,Statistics ,Process (computing) ,Control chart ,Industrial engineering ,Field (computer science) ,Mathematics - Abstract
Adapted from the acceptance sampling field, the double sampling monitoring schemes implement a two-stage strategy to decide whether the process being monitored is in-control or out-of-control. That...
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- 2021
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106. Distribution‐free double‐sampling precedence monitoring scheme to detect unknown shifts in the location parameter
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Zhi Lin Chong, Jean-Claude Malela-Majika, Sandile Charles Shongwe, Muhammad Aslam, and Eeva Maria Rapoo
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Distribution free ,Scheme (programming language) ,Double sampling ,Location parameter ,Robustness (computer science) ,Computer science ,Order statistic ,Control chart ,Management Science and Operations Research ,Safety, Risk, Reliability and Quality ,computer ,Algorithm ,computer.programming_language - Published
- 2021
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107. Efficient Estimator for Population Mean in Stratified Double Sampling in the Presence of Nonresponse Using One Auxiliary Variable
- Author
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C. E. Onwukwe, E. I. Enang, and A.E. Anieting
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Auxiliary variables ,Efficient estimator ,Double sampling ,Population mean ,Statistics ,General Medicine ,Mathematics - Abstract
A modified form of the population mean estimator suggested by Anieting and Enang (2020) in stratified double sampling in the presence of nonresponse using a single auxiliary variable has been proposed. The Mean Squared Error (MSE) and the bias of the proposed estimator have been given using large sample approximation. The empirical study shows that the MSE of the suggested estimator is more efficient than all other existing estimators in the same scheme. Determination of the optimal values of the first and second phases samples has also been done
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- 2021
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108. An Efficient Log-Type Class Of Estimators Using Auxiliary Information Under Double Sampling
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Chandni Kumari and Ratan Kumar Thakur
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Statistics and Probability ,Discrete mathematics ,Class (set theory) ,Double sampling ,Mean squared error ,Estimator ,Statistical and Nonlinear Physics ,Library and Information Sciences ,Statistics, Probability and Uncertainty ,Type (model theory) ,Mathematics - Published
- 2021
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109. Optimal economic statistical design of combined double sampling and variable sampling interval multivariate T2 control charts
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Mehdi Katebi and Michael B. C. Khoo
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Statistics and Probability ,Multivariate statistics ,Statistical design ,Chart ,Double sampling ,Applied Mathematics ,Modeling and Simulation ,Statistics ,Interval (graph theory) ,Control chart ,Statistics, Probability and Uncertainty ,Variable sampling ,Mathematics - Abstract
Recent studies have shown that an adaptive T 2 chart with double sampling and variable sampling interval D S V S I T 2 chart shows a good performance in detecting small to moderate shifts in the me...
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- 2021
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110. A 80 MS/S CMOS Sample-and-Hold Current Mode Circuit Using Double Sampling.(Dept.E)
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Hamed El-Simary
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Physics ,Double sampling ,CMOS ,Current mode circuit ,business.industry ,General Engineering ,Electrical engineering ,General Earth and Planetary Sciences ,Sample and hold ,DEPT ,business ,General Environmental Science - Published
- 2021
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111. An integrated‐likelihood‐ratio confidence interval for a proportion based on underreported and infallible data
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Phil D. Young, Dean M. Young, Briceön Wiley, and Chris Elrod
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Statistics and Probability ,Double sampling ,Statistics ,Coverage probability ,Statistics, Probability and Uncertainty ,Marginal likelihood ,Confidence interval ,Mathematics ,Numerical integration - Published
- 2021
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112. A stratified three-stage randomized response model for estimation of rare sensitive parameter under Poisson approximation
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Chandraketu Singh and G. N. Singh
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Statistics and Probability ,Estimation ,021103 operations research ,Three stage ,0211 other engineering and technologies ,02 engineering and technology ,Poisson distribution ,01 natural sciences ,Stratified sampling ,010104 statistics & probability ,symbols.namesake ,Double sampling ,Statistics ,Randomized response ,symbols ,0101 mathematics ,Mathematics - Abstract
This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling as well as in stratified random double sampling using...
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- 2021
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113. Ratio-product estimator in stratified double sampling based on coefficient of skewness of the auxiliary variable
- Author
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Etebong P. Clement
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Auxiliary variables ,education.field_of_study ,Double sampling ,Skewness ,Product (mathematics) ,Population ,Statistics ,Estimator ,Variance (accounting) ,education ,Mathematics ,Variable (mathematics) - Abstract
In this paper, a ratio-product estimator for estimating the population mean of the study variable based on the population coefficient of skewness of the auxiliary variable is suggested in stratified double sampling. Asymptotic optimum estimator and its approximate bias and variance expressions are derived. Properties of the suggested estimator are studied with some known existing estimators identified as special members of this class of estimators. Analytical and numerical investigations showed that the suggested estimator is more efficient than the conventional regression estimator of mean in stratified double sampling and existing estimators of its class in stratified double sampling. Analysis and evaluation are presented.
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- 2021
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114. Sampling Strategies: Fundamentals
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Alexander, David E., editor, Morrison, Michael L., Block, William M., Strickland, M. Dale, and Kendall, William L.
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- 2001
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115. The double sampling range chart.
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Costa, Antonio
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PROBABILITY theory , *MULTIVARIATE analysis , *MATHEMATICAL models , *TIME series analysis , *MANUFACTURING processes - Abstract
The R chart and the S2 chart are the usual charts for monitoring process dispersion; however, the double sampling ( DS) scheme has only be used with the S2 chart. The difficulty in obtaining the properties of the DS R chart might explain the lack of papers dealing with this type of DS chart. The S2 chart has the advantage of being more efficient than the R chart, but the same is not always observed with their DS versions. Depending on the size of the 2 samples, the DS R chart performs better. The trade-off between operational simplicity and power of detection might lead the practitioner to choose the DS R chart, even with the DS S2 chart signaling faster. [ABSTRACT FROM AUTHOR]
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- 2017
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116. Development of Efficient Estimation Technique for Population Mean in Two Phase Sampling Using Fuzzy Tools.
- Author
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PARICHHA, P., BASU, K., BANDYOPADHYAY, A., and MUKHOPADHYAY, P.
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ESTIMATION theory , *FUZZY systems , *STATISTICAL sampling , *MATHEMATICAL variables , *REGRESSION analysis - Abstract
The present investigation deals with the problem of estimation of population mean in two-phase (double) sampling. Utilizing information on two auxiliary variables, one chain exponential ratio and regression type estimator has been proposed and its properties are studied under two different structures of twophase sampling. To make the estimator practicable, unbiased version of the proposed strategy has also been developed. The dominance of the suggested estimator over some contemporary estimators of population mean has been established through numerical illustrations carried over the data set of some natural population and artificially generated population. Categorization of the dominance ranges of the proposed estimation strategies are deployed through defuzzification tools, which are followed by suitable recommendations. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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117. Double sampling max chart.
- Author
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Lee, Ming Ha and Khoo, Michael B. C.
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GENETIC algorithms , *NUMERICAL analysis , *SIMULATION methods & models , *MARKOV processes , *MATHEMATICAL optimization - Abstract
This study proposes a double sampling (DS) Max chart for monitoring shifts in the process mean and standard deviation. The design of the DS Max chart depends on five parameters, i.e. first and second sample sizes, warning limit at Stage 1, upper control limits at Stages 1 and 2. The optimization design of the DS Max chart is conducted using a genetic algorithm by minimizing the average run length. The comparison shows that the DS Max chart performs better than the existing charts in the literature. An example is provided to illustrate the application of the DS Max chart. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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118. Combined double sampling and variable sampling interval np chart.
- Author
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Lee, Ming Ha and Khoo, Michael B. C.
- Subjects
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STATISTICAL sampling , *MATHEMATICAL variables , *INTERVAL analysis , *DATA analysis , *OPTIMAL designs (Statistics) , *QUALITY control charts - Abstract
A combined double sampling and variable sampling interval (DSVSI) np chart is investigated in this study. The optimal design of the DSVSI np chart is based on minimizing the out-of-control average time to signal. From the numerical results, the DSVSI np chart performs reasonably well in comparison with the standard np chart, double sampling np chart, synthetic double sampling np chart, and other existing np type control charts for detecting increases in the process of fraction non conforming, based on the zero-state case. An example is provided to illustrate the application of the DSVSI np chart. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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119. A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory.
- Author
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Grafström, Anton, Zhao, Xin, Nylander, Martin, and Petersson, Hans
- Subjects
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FOREST surveys , *ENVIRONMENTAL sampling , *FORESTS & forestry , *FOREST reserves , *REMOTE sensing - Abstract
A new sampling strategy for forest inventories is presented. The most important difference from the traditional sampling strategies is that auxiliary variables from remote sensing are incorporated into the sampling design. The sample is selected to match population distributions of the auxiliary variables as well as possible. This is achieved by a double sampling approach, where auxiliary variables are extracted for a large first-phase sample. The second selection is done by the local pivotal method and produces an even thinning of the first-phase sample. Thus, we make sure that the selected second-phase sample becomes much more representative of the population than what is possible by the use of traditional designs. The potential of implementing the new strategy for the temporary clusters within the Swedish national forest inventory is evaluated with five auxiliary variables: the geographical coordinates, elevation, predicted tree height, and predicted basal area. The increased representativity that we achieve with the new strategy induces up to 95% reduction of the variance of the sample means of the remote sensing auxiliary variables compared with traditional designs. For this reason, we conclude that the new strategy that will be implemented in the forthcoming Swedish national forest inventory has a great potential to achieve large improvements in estimation of many important forest attributes. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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120. Improvement over variance estimation using auxiliary information in sample surveys.
- Author
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Singh, Housila P. and Pal, Surya K.
- Subjects
- *
SAMPLE variance , *STATISTICAL sampling , *APPROXIMATION theory , *NUMERICAL analysis , *RESEARCH bias - Abstract
This paper addresses the problem of estimating the population varianceS2yof the study variableyusing auxiliary information in sample surveys. We have suggested a class of estimators of the population varianceS2yof the study variableywhen the population varianceS2xof the auxiliary variablexis known. Asymptotic expressions of bias and mean squared error (MSE) of the proposed class of estimators have been obtained. Asymptotic optimum estimators in the proposed class of estimators have also been identified along with its MSE formula. A comparison has been provided. We have further provided the double sampling version of the proposed class of estimators. The properties of the double sampling version have been provided under large sample approximation. In addition, we support the present study with aid of a numerical illustration. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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121. A joint-adaptive np control chart with multiple dependent state sampling scheme.
- Author
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Zhou, Wenhui, Wan, Qiang, Zheng, Yanfang, and Zhou, Yong-wu
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STATISTICAL sampling , *QUALITY control charts , *MANUFACTURING processes , *COST control , *GENETIC algorithms - Abstract
Although the classical Shewhart np control chart has been widely used to detect an out-of-control status of manufacturing process, it is static and there is lack of responsiveness to slight process changes. In this paper, an adaptive np control chart with a joint sampling strategy combining double sampling (DS) and variable sampling interval (VSI) is developed. The multiple dependent state sampling scheme is adopted to further improve the performance of the control chart. An economical design model to minimize the general cost of using the proposed chart is established and solved by a genetic algorithm. The numerical results show that comparing to traditional static np control chart, the proposed np chart yields better performance in terms of shorter time to signal an out-of-control process and less expected cost per unit of time. Comparisons are made to show the capability of the proposed chart in yielding average reductions of 5.01% and 8.89%, in the cost of the proposed model compared to situations in which either the DSVSI np chart or the traditional np chart is used. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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122. Forest damage inventory using the local pivotal sampling method.
- Author
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Roberge, Cornelia, Grafström, Anton, and Ståhl, Göran
- Subjects
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NATURAL resources surveys , *FORESTS & forestry , *SAMPLING (Process) , *STRATIGRAPHIC geology , *FORESTRY research - Abstract
Specially designed forest damage inventories, directed to areas with potential or suspected damage, are performed in many countries. In this study, we evaluate a new approach for damage inventories in which auxiliary data are used for the sample selection with the recently introduced local pivotal sampling design. With this design, a sample that is well spread in the space of the auxiliary variables is obtained. We applied Monte Carlo sampling simulation to evaluate whether this sampling design leads to more precise estimates compared with commonly applied baseline methods. The evaluations were performed using different damage scenarios and different simulated relationships between the auxiliary data and the actual damages. The local pivotal method was found to be more efficient than simple random sampling in all scenarios, and depending on the allocation of the sample and the properties of the auxiliary data, it sometimes outperformed two-phase sampling for stratification. Thus, the local pivotal method may be a valuable tool to cost-efficiently assess the magnitude of forest damage once outbreaks have been detected in a forest region. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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123. A Class of Improved Estimators for Estimating the Population Mean in Double Sampling and its properties.
- Author
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Khan, Hina, Siddiqi, Ahmed Faisal, and Khan, Masood Amjad
- Subjects
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STATISTICAL sampling , *ARITHMETIC mean - Abstract
In this paper a class of improved estimators has been proposed for estimating population mean in Two Phase (Double) Sampling when information of auxiliary variable is available. Under Simple Random Sampling (SRSWOR), expressions of Mean Square Error and bias have been derived to make comparison of suggested class with wide range of other estimators. Empirical study has also been given using five different natural populations. Empirical study confirmed that the suggested class of improved estimators is more efficient under relative efficiency criterion. We have also developed some ranges of constant where we get minimum mean square error. These constant values are useful for surveyor. [ABSTRACT FROM AUTHOR]
- Published
- 2017
124. Estimation of Population Total in Two Stage Design with PPS Sampling and Using Double Sampling for Auxiliary Information
- Author
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Bahl, Shashi and Saini, Monika
- Published
- 2011
125. The effects of parameter estimation on minimizing the in-control average sample size for the double sampling X bar chart
- Author
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Michael B.C. Khoo, M.H. Lee, W.L. Teoh, J.Y. Liew,, and S.Y. Teh
- Subjects
double sampling ,in-control average sample size ,median run length ,parameter estimation ,Industrial engineering. Management engineering ,T55.4-60.8 - Abstract
The double sampling (DS) X bar chart, one of the most widely-used charting methods, is superior for detecting small and moderate shifts in the process mean. In a right skewed run length distribution, the median run length (MRL) provides a more credible representation of the central tendency than the average run length (ARL), as the mean is greater than the median. In this paper, therefore, MRL is used as the performance criterion instead of the traditional ARL. Generally, the performance of the DS X bar chart is investigated under the assumption of known process parameters. In practice, these parameters are usually estimated from an in-control reference Phase-I dataset. Since the performance of the DS X bar chart is significantly affected by estimation errors, we study the effects of parameter estimation on the MRL-based DS X bar chart when the in-control average sample size is minimised. This study reveals that more than 80 samples are required for the MRL-based DS X bar chart with estimated parameters to perform more favourably than the corresponding chart with known parameters.
- Published
- 2013
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126. The Economic Design of the Double Sampling X Chart with Measurement Errors
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Man F. Lau, Kong Melinda, K. S. Khee Yong Si, Ming Ha Lee, H. H. Then Patrick, XinYing Chew, and sabia rashid
- Subjects
Observational error ,Double sampling ,Computer science ,Applied Mathematics ,Modeling and Simulation ,Statistics ,Computational Mechanics ,Economic design ,Analysis ,\bar x and R chart - Published
- 2020
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127. Bayesian analysis of misclassified binomial data: double-sampling and the zero-numerator problem
- Author
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Paul H. Garthwaite and Noriah M. Al-Kandari
- Subjects
Statistics and Probability ,021103 operations research ,Posterior probability ,Bayesian probability ,0211 other engineering and technologies ,02 engineering and technology ,01 natural sciences ,Sub-sampling ,Zero (linguistics) ,Binomial distribution ,010104 statistics & probability ,Double sampling ,Modeling and Simulation ,Prior probability ,Binary data ,Statistics ,0101 mathematics ,Mathematics - Abstract
This article examines the zero numerator problem. This problem occurs when the misclassification rates are so low that both forms of misclassification may not both be present in the validation data. For this problem, the article compares two Bayesian methods for analyzing misclassified binary data that has a validation sub-study and three forms of a non-informative prior distribution. It shows that the two methods give similar results. However, the posterior distributions were sensitive to the choice of the prior distribution when misclassification rates are low. The article further presents a simulation study that reveals that the bias is small regardless of the considered prior distribution. However, when the misclassification rates are low, the coverage of credible intervals is markedly better for a Jeffreys’ prior than for either a Haldane’s or a uniform prior. Finally, the article highlights the merit of quantifying expert opinion to form a subjective prior distribution when the posterior distribution is sensitive to the prior.
- Published
- 2020
- Full Text
- View/download PDF
128. Variance estimation for mean growth from successive double sampling for stratification
- Author
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Christoph Fischer and Joachim Saborowski
- Subjects
0106 biological sciences ,Global and Planetary Change ,Forest inventory ,010504 meteorology & atmospheric sciences ,Ecology ,Estimator ,Forestry ,Variance (accounting) ,15. Life on land ,01 natural sciences ,Stratification (mathematics) ,Double sampling ,Variance estimation ,Statistics ,Sampling design ,Variance decomposition of forecast errors ,010606 plant biology & botany ,0105 earth and related environmental sciences ,Mathematics - Abstract
Double sampling for stratification (2SS) is a sampling design that is widely used for forest inventories. We present the mathematical derivation of two appropriate variance estimators for mean growth from repeated 2SS with updated stratification on each measurement occasion. Both estimators account for substratification based on the transition of sampling units among the strata due to the updated allocation. For the first estimator, sizes of the substrata were estimated from the second-phase sample (sample plots), whereas the respective sizes in the second variance estimator relied on the larger first-phase sample. The estimators were empirically compared with a modified version of Cochran’s well-known 2SS variance estimator that ignores substratification. This was done by performing bootstrap resampling on data from two German forest districts. The major findings were as follows: (i) accounting for substratification, as implemented in both new estimators, has substantial impact in terms of significantly smaller variance estimates and bias compared with the estimator without substratification, and (ii) the second estimator with substrata sizes being estimated from the first-phase sample shows a smaller bias than the first estimator.
- Published
- 2020
- Full Text
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129. Estimation of Poisson mean with under‐reported counts: a double sampling approach
- Author
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Tathagata Banerjee, Debjit Sengupta, and Surupa Roy
- Subjects
Statistics and Probability ,Estimation ,Maximum likelihood ,Estimator ,Poisson distribution ,Confidence interval ,symbols.namesake ,Double sampling ,Mortality data ,Statistics ,symbols ,Statistics, Probability and Uncertainty ,Mathematics ,Count data - Abstract
Count data arising in various fields of applications are often under‐reported. Ignoring undercount naturally leads to biased estimators and inaccurate confidence intervals. In the presence of undercount, in this paper, we develop likelihood‐based methodologies for estimation of mean using validation data. The asymptotic distributions of the competing estimators of the mean are derived. The impact of ignoring undercount on the coverage and length of the confidence intervals is investigated using extensive numerical studies. Finally an analysis of heat mortality data is presented.
- Published
- 2020
- Full Text
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130. A broader class of modified two-stage minimum risk point estimation procedures for a normal mean
- Author
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Jun Hu and Yan Zhuang
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Statistics and Probability ,021103 operations research ,Mean squared error ,0211 other engineering and technologies ,Minimum risk ,Sampling (statistics) ,02 engineering and technology ,01 natural sciences ,Class (biology) ,Absolute deviation ,010104 statistics & probability ,Double sampling ,Modeling and Simulation ,Statistics ,Point estimation ,Stage (hydrology) ,0101 mathematics ,Mathematics - Abstract
In this paper, we design an innovative and general class of modified two-stage sampling schemes to enhance double sampling and modified double sampling procedures. Under the squared error loss plus...
- Published
- 2020
- Full Text
- View/download PDF
131. An adaptive Kriging method with double sampling criteria applied to hydrogen preparation case
- Author
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Yanpu Chao, Junjun Shi, Yaohui Li, Jingfang Shen, and Hui Cen
- Subjects
Mathematical optimization ,Trust region ,Renewable Energy, Sustainability and the Environment ,Computer science ,Energy Engineering and Power Technology ,Sampling (statistics) ,02 engineering and technology ,Kriging method ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,01 natural sciences ,0104 chemical sciences ,Fuel Technology ,Double sampling ,Kriging ,Variance Criterion ,Benchmark (computing) ,0210 nano-technology ,Engineering design process - Abstract
Kriging model has been widely used to approximate expensive black-box problems in many engineering design fields. How to choose an appropriate sampling strategy to produce new expensive updated points is crucial. For this purpose, an adaptive Kriging method with double sampling criteria (AKM-DSC) is proposed. During every iteration of it, maximum curvature criterion and maximum variance criterion based on Kriging model are respectively optimized by trust region (TR) strategy to produce two candidate points. And then, a new screening method is used to determine final expensive-evaluation points from the two candidates. The proposed method is compared with the two typical Kriging modeling methods. The comparison results of seventeen benchmark functions verify that the proposed method can generate higher accuracy Kriging model. Finally, a hydrogen preparation case illustrates the engineering application value of the AKM-DSC method.
- Published
- 2020
- Full Text
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132. PERFORMANCE OF THE DOUBLE SAMPLING NP CHART BASED ON THE MEDIAN RUN LENGTH
- Author
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Patrick Hang Hui Then, Moi Hua Tuh, Ming Ha Lee, and Man F. Lau
- Subjects
Combinatorics ,Double sampling ,General Mathematics ,np-chart ,Mathematics - Published
- 2020
- Full Text
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133. Comparison between two methods of the economic-statistical design of profile monitoring under the double sampling scheme
- Author
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Bahram Sadeghpour Gildeh, Azamsadat Eizi, and Sayyed Ehsan Monabbati
- Subjects
Statistics and Probability ,Scheme (programming language) ,Mathematical optimization ,021103 operations research ,Statistical design ,Applied Mathematics ,media_common.quotation_subject ,0211 other engineering and technologies ,Process (computing) ,02 engineering and technology ,01 natural sciences ,010104 statistics & probability ,Variable (computer science) ,Double sampling ,Functional Relationship ,Modeling and Simulation ,Quality (business) ,0101 mathematics ,Statistics, Probability and Uncertainty ,computer ,Mathematics ,media_common ,computer.programming_language - Abstract
In many applications, the quality of a process is characterized by the functional relationship between a response variable and one or more explanatory variables. This functional relationship is ref...
- Published
- 2020
- Full Text
- View/download PDF
134. Evaluating abundance estimates and evidence of breeding for Bobolinks from transect and point‐count surveys
- Author
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Zoé M. Lebrun-Southcott, Andrew J. Campomizzi, and Christopher M. Lituma
- Subjects
Abundance estimation ,Geography ,Distance sampling ,Double sampling ,Abundance (ecology) ,Point (geometry) ,Physical geography ,Transect ,Ecology, Evolution, Behavior and Systematics - Published
- 2020
- Full Text
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135. Regression-Cum-Exponential Estimators for Product of Two Population Means Under Double Sampling the Non-respondents
- Author
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Shiwani Sharma, R. R. Sinha, and Suraj Gangwar
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education.field_of_study ,Character (mathematics) ,Empirical research ,Double sampling ,Product (mathematics) ,Statistics ,Population ,General Physics and Astronomy ,Estimator ,education ,Regression ,Mathematics ,Exponential function - Abstract
The present paper deals with the problem of estimating the product of two population means using the information of auxiliary character under double sampling the non-respondents. Two different cases are considered for suggesting the estimators to estimate the product of two population means. The bias and mean square errors are obtained up to the first order of approximation, and the conditions for obtaining the minimum mean square errors of suggested estimators are derived. Theoretical and empirical studies with real data sets published by the Government of India are carried out to demonstrate the efficiency of the proposed estimators over the relevant estimators used in practice.
- Published
- 2020
- Full Text
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136. Optimal double sampling control chart based on gauges
- Author
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Jaime Mosquera and Francisco Aparisi
- Subjects
Optimal design ,021103 operations research ,Computer science ,Control (management) ,0211 other engineering and technologies ,02 engineering and technology ,Gauge (firearms) ,Statistical process control ,01 natural sciences ,Industrial and Manufacturing Engineering ,010104 statistics & probability ,Variable (computer science) ,Double sampling ,Control theory ,Control chart ,0101 mathematics ,Safety, Risk, Reliability and Quality - Abstract
Control charts based on inspection with gauges are an interesting alternative to monitor quantitative variables when measurement is complex or expensive. The main advantage over variable control ch...
- Published
- 2020
- Full Text
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137. A FAMILY OF LOGARITHMIC ESTIMATORS FOR POPULATION VARIANCE UNDER DOUBLE SAMPLING
- Author
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Ratan Kumar Thakur and Chandni Kumari
- Subjects
Double sampling ,Logarithm ,Statistics ,Estimator ,Population variance ,Mathematics - Published
- 2020
- Full Text
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138. A side-sensitive double sampling X¯ monitoring scheme with estimated process parameters
- Author
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Philippe Castagliola, Sandile Charles Shongwe, Collen M. Motsepa, Jean-Claude Malela-Majika, University of South Africa (UNISA), Conception, Pilotage, Surveillance et Supervision des systèmes (LS2N - équipe CPS3), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), and Nantes Université (Nantes Univ)
- Subjects
Statistics and Probability ,Scheme (programming language) ,021103 operations research ,overall performance measures ,estimated process parameters ,0211 other engineering and technologies ,Process (computing) ,02 engineering and technology ,01 natural sciences ,Phase II ,[STAT]Statistics [stat] ,010104 statistics & probability ,Double sampling scheme ,Phase I ,Distribution (mathematics) ,Double sampling ,Modeling and Simulation ,Statistics ,side-sensitive double sampling scheme ,Statistical process monitoring ,0101 mathematics ,computer ,Algorithm ,Mathematics ,computer.programming_language - Abstract
In statistical process monitoring (SPM), most of the monitoring schemes are designed assuming that the process parameters for the underlying distribution are known (i.e., Case K). In a variety of c...
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- 2020
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139. A double sampling multivariate T2 control chart with variable sample size and variable sampling interval
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Mehdi Katebi and M. Bameni Moghadam
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Statistics and Probability ,Variable (computer science) ,Multivariate statistics ,Double sampling ,Chart ,Markov chain ,Sample size determination ,Modeling and Simulation ,Statistics ,Control chart ,Interval (mathematics) ,Mathematics - Abstract
This paper presents an adaptive T2 control chart for monitoring shifts in the mean vector of a multivariate normally distributed process. This chart which combines the double sampling, variable sam...
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- 2020
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140. Classes of Population Mean Estimators using Transformed Variables in Double Sampling
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Natthapat THONGSAK and Nuanpan LAWSON
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Multidisciplinary ,Engineering ,General Engineering ,Mühendislik ,Double sampling ,Ratio estimators ,Bias ,Mean square error - Abstract
Transformation techniques have been used to increase the efficiency of estimators in sample surveys. In this paper, some classes of population mean estimators using transformation on an auxiliary variable and on both the auxiliary and study variables have been proposed under double sampling. We obtain the biases and mean square errors of the proposed estimators up to the first order of approximation. A simulation study and application to a rubber production dataset have been used to illustrate the performance of the proposed estimators. The results show that the proposed estimators perform much better than other existing estimators under given conditions.
- Published
- 2022
141. Revised triple sampling X̄ control charts for the mean with known and estimated process parameters
- Author
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Sajal Saha, Philippe Castagliola, Michael B. C. Khoo, Faijun Nahar Mim, Universiti Sains Malaysia (USM), International University of Business Agriculture and Technology (IUBAT), Conception, Pilotage, Surveillance et Supervision des systèmes (LS2N - équipe CPS3), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), and Nantes Université (Nantes Univ)
- Subjects
Average run length ,Strategy and Management ,Process (computing) ,Sampling (statistics) ,Management Science and Operations Research ,estimated process parameters 1. Introduction ,Industrial and Manufacturing Engineering ,[STAT]Statistics [stat] ,known process parameters ,Double sampling ,Chart ,Statistics ,triple sampling ,Control chart ,double sampling ,control charts ,Sampling control ,Mathematics - Abstract
The primary aim of this research is to propose a revised triple sampling (TS) X¯ chart, where the derivations of new formulae for computing the average run length of the triple sampling (TS) X¯ chart correctly are provided. The secondary aim is to develop the revised TS X¯ chart with estimated process parameters. The revised TS X¯ charts are compared with the double sampling (DS) X¯, two stage adaptive sample size (AS2) X¯ and three stage adaptive sample size (AS3) X¯ charts when process parameters are known and estimated using the average run length (ARL), average number of observations to signal (ANOS), average of the average run lengths (AARL), standard deviation of the average run lengths (SDARL), average of the average number of observations to signal (AANOS) and standard deviation of the average number of observations to signal (SDANOS) criteria, where the revised TS X¯ charts are found to be superior. Additionally, a table giving the minimum number of Phase-I samples for estimating the process mean so that the revised TS X¯ chart with estimated process parameters has the desired in-control AARL and AANOS performances is provided.
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- 2022
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142. Development and research of a feed-forward sigma-delta modulator with double sampling
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двÑÑ ÑÐ°Ð·Ð½Ð°Ñ Ð²ÑбоÑка ,ADC ,sigma-delta ,Ñигма-делÑÑа ,поÑледоваÑелÑнÑй ÐЦР,serial ADC ,double sampling ,ÐЦР- Abstract
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «РазÑабоÑка и иÑÑледование ΣΠмодÑлÑÑоÑа Ñ Ð´Ð²ÑÑ Ñазной вÑбоÑкой и пÑÑмой ÑвÑзÑÑ».ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена пÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑода двÑÑ Ñазной вÑбоÑки в ΣΠмодÑлÑÑоÑе.ЦелÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ дипломной ÑабоÑÑ ÑлÑÐ¶Ð¸Ñ Ð¸Ð·ÑÑение ÑабоÑÑ Î£Î Ð¼Ð¾Ð´ÑлÑÑоÑа, а Ñакже ÑаÑÑмоÑÑение ÑазлиÑнÑÑ ÑеализаÑий меÑода двÑÑ Ñазной вÑбоÑки и ÑпоÑобов ÑлÑÑÑÐµÐ½Ð¸Ñ Ð¸Ñ Ð¿Ð°ÑамеÑÑов.Ð Ñ Ð¾Ð´Ðµ ÑабоÑÑ ÑаÑÑмаÑÑиваÑÑÑÑ Ð±Ð»Ð¾ÐºÐ¸, Ð½ÐµÐ¾Ð±Ñ Ð¾Ð´Ð¸Ð¼Ñе Ð´Ð»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Î£Î Ð¼Ð¾Ð´ÑлÑÑоÑа. ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÑÑÑкÑÑÑÑ Î£Î Ð¼Ð¾Ð´ÑлÑÑоÑа пеÑвого и вÑоÑого поÑÑдка, а Ñакже пÑедÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÑезÑлÑÑаÑÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð²Ð¾ вÑеменной и ÑаÑÑоÑной облаÑÑи в ÐÐ Cadence Virtuoso Ñ Ð¸ÑполÑзованием паÑамеÑÑов 180 нм ÐÐÐÐ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸. РаÑÑмоÑÑена ÑабоÑа ÑÑÑÑкÑÑÑ Î£Î Ð¼Ð¾Ð´ÑлÑÑоÑа вÑоÑого поÑÑдка Ñ Ð¿Ñименением меÑода двÑÑ Ñазной вÑбоÑки, ΣΠмодÑлÑÑоÑа Ñ Ð¿Ñименением меÑода двÑÑ Ñазной вÑбоÑки плаваÑÑей ÑоÑкой. ÐзÑÑено влиÑние ÑазлиÑнÑÑ Ð¼Ð¾Ð´Ð¸ÑикаÑий ÑÑÑÑкÑÑÑ Ñ Ð¿Ñименением меÑода двÑÑ Ñазной вÑбоÑки на SNDR модÑлÑÑоÑа. ÐÑделÑно ÑаÑÑмоÑÑена ÑÑÑÑкÑÑÑа ΣΠмодÑлÑÑоÑа Ñ Ð¿Ñименением меÑода двÑÑ Ñазной вÑбоÑки Ñ ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð¸Ñованной ÑвÑзÑÑ.Â, The theme of the final qualification work: "Development and research of a feed-forward sigma-delta modulator with double sampling"This work is devoted to the application of the double sampling method in a ΣΠmodulator. The purpose of this work is to study the operation of ΣΠmodulator, and also to consider various implementations of the double sampling method and ways to improve their parameters. In the course of the work, we consider simple structures necessary for constructing a ΣΠmodulator. The structures of the ΣΠmodulator of the first and second order are given in this work, and the simulation results in the time and frequency domain are also presented. In Cadence Virtuoso software with using 180 nm CMOS technology. We consider the functioning of the ΣΠsecond-order modulators structure using the double sampling technique. We study the effect of various modifications of structures using the double sampling technique on the signal-to-noise ratio of the signal at the output of the modulator. The structure of the feedforward double sampling ΣΠmodulator is considered separately.
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- 2022
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143. A Two Control Limits Double Sampling Control Chart by Optimizing Producer and Customer Risks
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Dradjat Irianto & Ani Juliani
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control chart ,customer risk ,double sampling ,optimization ,producer risk. ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Standard Shewhart process control chart has been widely used, but it is not sensitive in detecting small shift. A number of alternatives have been proposed to improve the capability of control chart. The double sampling (DS) control chart is aimed at improving the capability to detect any small shift out-of control condition by observing the second sample without interruption. The capabilities of DS control chart were measured as the expected sample size (as a measure of inspection cost) or the control chart power (as a measure for customer risk). Optimization of these criteria is used to determine the control limits. In this paper, we optimize both producer and customer risks under a certain expected number of sample sizes as the constraint. Comparing the result to the previous procedure that only optimize customer risk, the proposed optimization procedure gives the same first control limit but smaller second control limits with higher value of control chart power.
- Published
- 2010
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144. A simulation study: Robust ratio double sampling estimator of finite population mean in the presence of outliers
- Author
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Hasan Bulut and Tolga Zaman
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Data set ,Mean squared error ,Double sampling ,Population mean ,Statistics ,Outlier ,General Engineering ,Estimator ,Mathematics ,Robust regression - Abstract
In this study, we suggest a family of ratio estimators for the population mean parameter using various robust regression techniques. These robust regressions techniques are Huber MM, LTS, and LMS estimates. We evaluate the performance of estimators in terms of the mean square error (MSE), and we compare the efficiency of our proposed robust-regression-ratio-type estimators with existing estimators under the optimal conditions. These comparisons show that our robust ratio-type estimators give more efficient results than the existing estimators under double sampling. In addition, the simulation and the empirical studies based on a data set that includes unusual observations show that our proposed estimators have a lower MSE than the existing estimators.
- Published
- 2021
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145. Study of Dual to Ratio-Cum-Product Estimator of Finite Population Mean under Double Sampling in Sample Surveys
- Author
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Sanjib Choudhury and Bhupendra Kumar Singh
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Dual to Ratio-Cum- Product Estimator ,Double Sampling ,Finite Population Mean ,Mean Square Error ,Efficiency ,Probabilities. Mathematical statistics ,QA273-280 - Abstract
A class of estimator based on dual to ratio and dual to product-type estimator in double sampling for estimating finite population mean is proposed. The bias and mean square error of the proposed estimator are obtained in two different cases. A comparative study has been made with usual estimators, dual to ratio estimator, dual to product type estimator in double sampling in two different cases. The proposed estimator is found to be an improvement over the other estimators as special cases.
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- 2015
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146. Double sampling with multiple imputation to answer large sample meta-research questions: Introduction and illustration by evaluating adherence to two simple CONSORT guidelines
- Author
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Patrice L. Capers, Andrew W Brown, John eDawson, and David B Allison
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modeling ,adherence ,CONSORT ,Double sampling ,Multiple imputation ,Meta-research ,Nutrition. Foods and food supply ,TX341-641 - Abstract
BACKGROUND: Meta-research can involve manual retrieval and evaluation of research, which is resource intensive. Creation of high throughput methods (e.g., search heuristics, crowdsourcing) has improved feasibility of large meta-research questions, but possibly at the cost of accuracy. OBJECTIVE: To evaluate the use of double sampling combined with multiple imputation (DS+MI) to address meta-research questions, using as an example adherence of PubMed entries to two simple Consolidated Standards of Reporting Trials (CONSORT) guidelines for titles and abstracts. METHODS: For the DS large sample, we retrieved all PubMed entries satisfying the filters: RCT; human; abstract available; and English language (n=322,107). For the DS subsample, we randomly sampled 500 entries from the large sample. The large sample was evaluated with a lower rigor, higher throughput (RLOTHI) method using search heuristics, while the subsample was evaluated using a higher rigor, lower throughput (RHITLO) human rating method. Multiple imputation of the missing-completely-at-random RHITLO data for the large sample was informed by: RHITLO data from the subsample; RLOTHI data from the large sample; whether a study was an RCT; and country and year of publication. RESULTS: The RHITLO and RLOTHI methods in the subsample largely agreed (phi coefficients: title=1.00, abstract=0.92). Compliance with abstract and title criteria has increased over time, with non-US countries improving more rapidly. DS+MI logistic regression estimates were more precise than subsample estimates (e.g., 95% CI for change in title and abstract compliance by Year: subsample RHITLO 1.050-1.174 vs. DS+MI 1.082-1.151). As evidence of improved accuracy, DS+MI coefficient estimates were closer to RHITLO than the large sample RLOTHI. CONCLUSIONS: Our results support our hypothesis that DS+MI would result in improved precision and accuracy. This method is flexible and may provide a practical way to examine large corpora of literature.
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- 2015
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147. Optimized np Attribute Control Chart Using Triple Sampling
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Manuel J. Campuzano, José Jorge Muñoz, and Jaime Mosquera Restrepo
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General Mathematics ,control chart ,attributes control chart ,triple sampling ,double sampling ,average run length ,average sample number ,np control chart ,Computer Science (miscellaneous) ,Engineering (miscellaneous) - Abstract
This paper studies an attribute control chart for monitoring the number of nonconforming items using a triple sampling (TS-np) which has not yet been applied to attribute control charts. The chart design and procedure for the decision about the state of the process are given. Mathematical expressions for the average run length (ARL) for in-control and out-of-control processes and the average sample number (ASN) are given. A bi-objective genetic algorithm that seeks to minimize the ASN and the probability of type 2 error is implemented in order to optimize the design of the TS-np control chart. A comparison between TS-np, single sampling np (SS-np), double sampling np (DS-np), and multiple dependent state repetitive sampling (MDSRS) control charts is carried out in terms of the out-of-control average run length (ARL1). Tables of ARL1 values for TS-np are presented in comparison with MDSRS and DS-np for various scenarios. The operation of the proposed control chart is shown through simulated data. Finally, it is concluded that the proposed TS-np chart has a better performance in terms of ARL1 detecting small and moderate shifts in the process nonconforming rate in-control (p0) compared with MDSRS and DS-np.
- Published
- 2022
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148. Improving estimation efficiency for semi-competing risks data with partially observed terminal event.
- Author
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Yu, Menggang
- Subjects
- *
DISTRIBUTION (Probability theory) , *STATISTICAL sampling , *ESTIMATION theory , *COMPUTER simulation , *CENSORING (Statistics) - Abstract
Semi-competing risks data arise when two types of events, non-terminal and terminal, may be observed. When the terminal event occurs first, it censors the non-terminal event. Otherwise the terminal event is observable after the occurrence of the non-terminal event. In practice, it can be hard to ascertain all terminal event information after the non-terminal event. Yu and Yiannoutsos [(2015), ‘Marginal and Conditional Distribution Estimation from Double-Sampled Semi-Competing Risks Data’,Scandinavian Journal of Statistics, 42, 87–103] considered a setting when the terminal event is ascertained via double sampling from only a subset of patients who experienced the non-terminal event. They discussed estimation for marginal and conditional distributions under this double sampled semi-competing risk data framework. We propose a more efficient estimation method in the same setting by fully utilising the non-terminal event information. The efficiency gain can be substantial as observed in our simulation study. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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- View/download PDF
149. An efficient two-stage randomized response model under stratified random sampling.
- Author
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Abdelfatah, Sally and Mazloum, Reda
- Subjects
- *
RANDOMIZED response , *STATISTICAL sampling , *RANDOMIZATION (Statistics) , *PROBABILITY theory , *ANALYSIS of variance - Abstract
A two-stage randomized response model is extended to stratified random sampling in order to find out more efficient estimators of proportions built from sensitive questions, which respondents may not answer truthfully, in a population divided into homogeneous subgroups. In each subgroup, the respondents who have not answered the sensitive question in the first stage are requested in the second stage to either answer the sensitive question (second attempt then) or to draw a card indicating “yes” or “no”. In the latter case, they are required to report the outcome. Such extension provides a more efficient estimator of the proportion of the population having a given sensitive attribute than its counterpart in simple random sampling. The extended two-stage randomized response model is more efficient than the stratified randomized response model, where respondents must answer the sensitive question either in the first or in the second stage. Moreover, it increases the respondents’ cooperation. When strata weights are unknown, they are estimated by the double sampling method. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
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150. Ratio Estimators for Population Mean Using Robust Regression in Double Sampling.
- Author
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NOOR UL AMIN, Muhammad, QAISER SHAHBAZ, Muhammad, and KADILAR, Cem
- Subjects
- *
ESTIMATION theory , *REGRESSION analysis , *STATISTICAL sampling , *ROBUST statistics , *ERROR analysis in mathematics - Abstract
In this article, ratio estimators for the population mean are suggested using the robust regression under the double sampling scheme. The mean squared error (MSE) expressions are obtained for the first degree of approximation. Theoretical comparisons show that the proposed estimators having the robust regression estimates are more efficient than the estimators using the least square method under the certain conditions. Theoretical findings are supported with the aid of a real life dataset in application and a simulation study is also conducted to evaluate the performance of the proposed estimators. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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