Results 11 to 20 of about 257,346 (272)
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the χ2 test and SAS and R software implementation of three kinds of two-way unordered two-dimensional contingency table data except the four-fold table data.
Hu Chunyan, Hu Liangping
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Dichotomization of Multilevel Variables to Detect Hidden Associations
Applied Sciences, 2022 A test of independence is commonly used to determine differences (or associations) between samples in a nominal level measurement. Fisher’s exact test and Chi-square test are two of the most widely applied tests of independence used in the data analyses ...
Asdrúbal López-Chau +4 more
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Releasing Private Contingency Tables
The Journal of Privacy and Confidentiality, 2010 Statistical agencies routinely publish aggregate data in the form of contingency tables. In this paper, we consider the problem of releasing private contingency tables so that the privacy of individual respondents in the table is preserved.
Shubha U. Nabar, Nina Mishra
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Fitting Markov property to genetic sequences
Lietuvos Matematikos Rinkinys, 2023 In this paper DNA sequents are modelled as discrete-state Markov chains. Statistical data is presented in contingency tables form. The generalized logit model is used to test the first-order Markov property for all coding and non-coding subsequences of ...
Jurgita Židanavičiūtė +1 more
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Performance Comparison of Independence Tests in Two-Way Contingency Table
Revstat Statistical Journal, 2023 Several test statistics are available for testing the independence of categorical variables from two-way contingency tables. A vast majority of published articles used the Pearson’s chi-squared test for such purposes; however, this test statistic may ...
Ebru Ozturk +3 more
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conting: An R Package for Bayesian Analysis of Complete and Incomplete Contingency Tables
Journal of Statistical Software, 2014 The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models. This package allows a user to identify interactions between categorical factors (
Antony M. Overstall, Ruth King
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Graphical Log-linear Models: Fundamental Concepts and Applications [PDF]
, 2016 We present a comprehensive study of graphical log-linear models for contingency tables. High dimensional contingency tables arise in many areas such as computational biology, collection of survey and census data and others. Analysis of contingency tables
Gauraha, Niharika
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Characterization of the Maximum Probability Fixed Marginals R×C Contingency Tables
Revstat Statistical Journal, 2020 In this paper operators i[j] and [j]k are defined, whose effects on an r×c contingency table X are to subtract 1 from xij and to add 1 to xkj , respectively, so that the composition i[j]k of the two operators changes the j-th column of the contingency ...
Francisco Requena
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Sustainable Business and Society in Emerging Economies, 2022 Purpose: This study aims to analyze the performance of tests of independence for nominal data. Tests of independence is one of the most used statistical techniques in econometrics.
Shakeel Shahzad +2 more
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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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