Characterization of maximum probability points in the multivariate hypergeometric distribution

DOI10.1016/S0167-7152(00)00079-1zbMath0958.62051MaRDI QIDQ1590834

F. Requena, N. Martín Ciudad

Publication date: 9 April 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

multivariate hypergeometric distribution2 by c contingency tables

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Contingency tables (62H17)

Related Items (3)

Unified multivariate hypergeometric interpoint distances ⋮ The Maximum Probability 2 × cContingency Tables and the Maximum Probability Points of the Multivariate Hypergeometric Distribution ⋮ A major improvement to the network algorithm for Fisher's exact test in \(2\times c\) contingency tables

Cites Work

• A Network Algorithm for Performing Fisher's Exact Test in r × c Contingency Tables
• A survey of algorithms for exact distributions of test statistics in r\(\times c\) contingency tables with fixed margins
• Schur convexity of the maximum likelihood function for the multivariate hypergeometric and multinomial distributions
• Extreme probabilities for contingency tables under row and column independence with application to fisher's exact test
• A network algorithm for the exact treatment of the 2×k contingency table

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