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Roselle (Hibiscus sabdariffa L.) is a worldwide known species of great importance due to its medicinal properties and pleasant flavor. In Paraguay, it is used as an alternative crop by family-run farmers; however, the varieties used in the country are unknown, so no information is available on this crop. The qualitative characterization would collect knowledge serving as a basis for the registration of varieties produced in Paraguay. In addition, such data are useful for future genetic improvement programs considering this crop. The present work was carried out at the Multidisciplinary Center for Technological Research and the experimental farmland of the Faculty of Agricultural Sciences of the National University of Asuncion, during the years 2022 and 2023. The main objective was to carry out a morphological characterization of four Roselle varieties: Ana Delia, Benito, Dogo, and Creole. The design consisted of completely randomized blocks, with four treatments (varieties) and four replications; each experimental unit (block) was composed of 24 plants, distributed in four rows; 12 plants, selected from the central rows, were harvested for the evaluations. Stem color, leaf shape, leaf margin, rib color, petiole color, flower color, calyx color, calyx sepal opening, capsule shape, capsule color, capsule anthocyanin coloration, and pubescence level were evaluated. The results demonstrate qualitative differences between the varieties, which help to compare and classify them for a better variety selection.

The objective of this methodological study is to define and develop a qualitative peakedness measure and to test its validity. One hundred twenty qualitative distributions were generated from binomial distributions. The percentile kurtosis and the average of five judges when visually assessing the degree of peakedness were used as validity criteria. Peakedness was defined as the standout of the peak between the shoulders. From the frequencies of the nominal categories, it was specified how to chart a bar diagram and measure the distance from the peak to the shoulders. The statistic showed a behavior adjusted to expectations. Its correlation with average inter-judge peakedness was .87 and with percentile kurtosis -.38. It is concluded that a concept of qualitative peakedness can be defined and measured reliably. [ABSTRACT FROM AUTHOR]

In this study, Tobit Model which is known to censored regression model is examined. The aim of the study is to estimate the Tobit model parameters using with Bayesian approach and compare the Bayesian and classical estimation results. At first, the methods are examined which are used to estimate the Tobit model parameters. These methods are the maximum likelihood method and the Bayesian estimation method. For the inferences of the Bayesian approach, the Gibbs sampling method is used. In the application section first, the simulation program was written in the Matlab program for the Tobit model which is censored from below, and the classical maximum likelihood method is used to estimate the parameters of the Tobit model. Later, Bayesian estimations are obtained by importing the same data which are generated using the Matlab simulation program, from the WinBugs program. And then the estimation results are obtained from using the data of Accord, Mazda 6, and Maxima models, which are the most preferred automobile brands in the USA in 2017. The estimation results are similar for the two methods. Besides, classical confidence intervals and Bayesian credible intervals are computed. It is seen that Bayesian highest density intervals are slightly narrower than the classical confidence intervals. [ABSTRACT FROM AUTHOR]

This methodological investigation aims to define a concept of asymmetry for qualitative variables, quantify it, and show its validity. A panel of five expert judges and Monte Carlo simulations were used. The statistic Mean Difference in Frequency (MDF) between pairs of categories ordered by frequency homogeneity was defined. The MDF statistic showed a behavior adjusted to expectations with different variants of the binomial distribution. The correlation between the mean skewness score of the judges and MDF was very high. To obtain interpretive guiding cutoffs, 20,000 samples of sizes 20, 40, 100, 200, 500, and 1000 were simulated, drawn from a binomial distribution. It is concluded that MDF is validity to measure asymmetry in qualitative variables. [ABSTRACT FROM AUTHOR]

Roselle ( Hibiscus sabdariffa L.) is a worldwide known species of great importance due to its medicinal properties and pleasant flavor. In Paraguay, it is used as an alternative crop by family-run farmers; however, the varieties used in the country are unknown, so no information is available on this crop. The qualitative characterization would collect knowledge serving as a basis for the registration of varieties produced in Paraguay. In addition, such data are useful for future genetic improvement programs considering this crop. The present work was carried out at the Multidisciplinary Center for Technological Research and the experimental farmland of the Faculty of Agricultural Sciences of the National University of Asuncion, during the years 2022 and 2023. The main objective was to carry out a morphological characterization of four Roselle varieties: Ana Delia, Benito, Dogo, and Creole. The design consisted of completely randomized blocks, with four treatments (varieties) and four replications; each experimental unit (block) was composed of 24 plants, distributed in four rows; 12 plants, selected from the central rows, were harvested for the evaluations. Stem color, leaf shape, leaf margin, rib color, petiole color, flower color, calyx color, calyx sepal opening, capsule shape, capsule color, capsule anthocyanin coloration, and pubescence level were evaluated. The results demonstrate qualitative differences between the varieties, which help to compare and classify them for a better variety selection., (© 2024 The Authors.)

Measurement scale is an important part of data collection, analysis, and presentation. In the data collection and data analysis, statistical tools differ from one data type to another. There are four types of variables, namely nominal, ordinal, discrete, and continuous, and their nature and application are different. Graphs are a common method to visually present and illustrate relationships in the data. There are several statistical diagrams available to present data sets. However, their use depends on our objectives and data types. We should use the appropriate diagram for the data set, which is very useful for easily and quickly communicating summaries and findings to the audience. In the present study, statistical data type and its presentation, which are used in the field of biomedical research, have been discussed.

Destination competitiveness is the ability to sustain or improve market position and market share of a destination over a period of time. Different markets have different expectations which increase the importance of features a destination should provide in order to achieve competitive advantage. The results of this study show that the domestic model of Iran's destinations competitiveness comprises 9 major indices. These indices are made of 64 variables which have been derived from literature reviews and qualitative surveys. The results of running the model for all selected destinations are consistent with the destinations' tourist statistics except for one destination (Qom). [ABSTRACT FROM AUTHOR]

Measurement scale is an important part of data collection, analysis, and presentation. In the data collection and data analysis, statistical tools differ from one data type to another. There are four types of variables, namely nominal, ordinal, discrete, and continuous, and their nature and application are different. Graphs are a common method to visually present and illustrate relationships in the data. There are several statistical diagrams available to present data sets. However, their use depends on our objectives and data types. We should use the appropriate diagram for the data set, which is very useful for easily and quickly communicating summaries and findings to the audience. In the present study, statistical data type and its presentation, which are used in the field of biomedical research, have been discussed. [ABSTRACT FROM AUTHOR]

In this work we have collected estimators of the population proportion through the use of auxiliary information under simple random sampling. We analyzed the main properties of these estimators. Theorethical properties suggest that the estimators with use of auxiliary information can outperform alternative methods, and the results derived from a Monte Carlo simulation study support this view. Has made an application on a population of Risk of Acidication in Lakes in the Northeastern states of the U.S. conducted by the Environmental Monitoring and Assessment Program of the US Environmental Protection Agency. In the application we have compared the different estimators each other with the standard stimators. [ABSTRACT FROM AUTHOR]