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This article proposes a new estimation method to fit the structural regression model when the variables are subject to errors. The new estimation method is the extension of theWald estimation method and involves iterative process. Several Monte Carlo simulation experiments were used to study the performance of the proposed estimators. The results were compared with the classical Wald estimation method in terms of its root mean square error (RMSE). In addition, an application for examining the relationships between Jordan's national gross domestic product (GDP) and its human development index (HDI) was presented. Numerical results showed that the GDP and HDI have a strong positive and significant correlation. Moreover, the proposed procedures with different subgroup sizes (r =3 and r =4) gave more accurate estimators than the classical estimation methods in fitting the relationships between GDP and HDI. [ABSTRACT FROM AUTHOR]

In environmental and many other areas, the main focus of survey is to measure elements using an efficient and cost-effective sampling technique. One way to reach that is by using Ranked set sampling (RSS). RSS is an alternative sampling technique that can be advantageous when measuring the variable of interest is either costly or time-consuming but ranking small sets of units according to the character under investigation by eye or other methods not requiring actual quantifications. The purpose of this article is to introduce a new modification of RSS to estimate the mean of the target population. This proposed technique is a double-stage approach that combines median RSS (MRSS) and MiniMax RSS (MMRSS). The performance of the empirical mean and variance estimators based on the proposed technique are compared with their counterparts in Double RSS (DRSS), Extreme RSS (ERSS), Double Extreme RSS (DERSS), MMRSS, RSS, and simple random sampling (SRS) via Monte Carlo simulation. Simulation results revealed that this new modification is almost always more efficient than their counterparts using MMRSS and SRS, while it is more efficient than RSS in many cases especially when the distribution is asymmetric. [ABSTRACT FROM AUTHOR]

In this paper, truncated lifetime testing is considered, and new single acceptance sampling plans (SASP) are proposed assuming that the lifetime distribution is the q-Weibull distribution of a product. Assuming a finite population size (limited population size, N); the inspection process for a single sampling plan is ASP(n,p) begins by choosing a simple random sample from a given lot, then based on pre-assigned quality standards, the manager will decide to reject the lot if some items fail to meet the pre-assigned quality standards. Since the population is limited; then this experiment meets the hypergeometric distribution assumptions. The hypergeometric theory is applied to compute the probability of acceptance, and the procedure is used to compute the minimum sample size and the operating characteristics of the sampling plans. Also, a real data analysis is given to illustrate the applicability of the proposed plan in the industry. [ABSTRACT FROM AUTHOR]

This article proposed a modified AM estimation procedure. The procedure uses the grouping estimators iteratively after dividing the sample into clus- ters. Then, the grouping AM procedure used to if the structural relationship with measurement error considering there is no equation error model. The performance of the iterative grouping estimator is compared with the tra- ditional two group estimators. Simulation study showed that in terms of mean square error the proposed estimator is robustify the traditional two group estimator. A real data analysis for studying the relationships between happiness rate and the corruption perceptions index in the Arabs states is discussed. [ABSTRACT FROM AUTHOR]

In this paper, a two points acceptance sampling method were used to draw a decision on accepting or rejecting a tested product. It is also, as- sumed that the life time product follows a new distribution that formulated based on Weibull and Pareto life time distributions that it is known as new Weibull-Pareto (NWP) distribution. The mean life time in the second stage is obtained based on a pre-specified life time in the first one and the quality of a product is evaluated by computing the operating characteristic values and the minimum ratios of the mean life. The results are illustrated and a numerical example were given. [ABSTRACT FROM AUTHOR]

Business data analyses are the iterative and the statistical methodological that considered as a soul of business research and education and are the utmost targets for any academic institute that seek a high quality standards in these areas. This special issue, inspired by the Workshop \Business Data Analysis: A Crossroad Between Research and Education" (BDA2016), which was held at the college of business administration, Al Falah University (Dubai-UAE) in April 28, 2016, highlights several statistical tools that used in the business data analysis. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses the AGROSTAT 2010 conference and articles within the issue on topics including non parametric approach for agribusiness products, customers' knowledge of olive oil quality, and the the application of global sensitivity analysis to food safety risk assessment.