A Simple Method for Constructing Multidimensional Distributions of Correlated Categorical Data

DOI10.1080/03610910802001863zbMath1145.62045OpenAlexW2052339683MaRDI QIDQ3527768

Hyun Jip Choi

Publication date: 30 September 2008

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910802001863

zbMATH Keywords

random numbersmultidimensional contingency tablesPearson chi-square coefficients

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Contingency tables (62H17)

Related Items (1)

A Bootstrap Approach for Testing Marginal Independence Between Two Categorical Variables When Subjects Have Repeated Responses

Cites Work

• The computer generation of multinomial random variates
• Some simple methods for generating correlated categorical variates
• Sharp bounds for the maximum of the chi-square index in a class of contingency tables with given marginals
• Generating Correlated Binary Variables with Complete Specification of the Joint Distribution
• Miscellanea. A note on generating correlated binary variables

This page was built for publication: A Simple Method for Constructing Multidimensional Distributions of Correlated Categorical Data