Simulating dependent binary variables through multinomial sampling

DOI10.1080/00949655.2015.1020313OpenAlexW2049576621MaRDI QIDQ5222351

Roy T. Sabo, Mary E. Haynes, Narasinga Rao Chaganty

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1020313

zbMATH Keywords

correlationcumulative distribution functiondependence boundssimulated data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20) Paired and multiple comparisons; multiple testing (62J15)

Related Items (3)

Simulating longer vectors of correlated binary random variables via multinomial sampling ⋮ High dimensional Bernoulli distributions: algebraic representation and applications ⋮ Representation of multivariate Bernoulli distributions with a given set of specified moments

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• Range of correlation matrices for dependent Bernoulli random variables
• Univariate Discrete Distributions

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