A bivariate \(F\) distribution with marginals on arbitrary numerator and denominator degrees of freedom, and related bivariate beta and \(t\) distributions

DOI10.1007/s10260-008-0103-yzbMath1332.62047OpenAlexW2003916383MaRDI QIDQ257532

M. C. Jones, Ahmed H. El-Bassiouny

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-008-0103-y

zbMATH Keywords

positive dependencetransformationchi-squared distribution

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) Probability distributions: general theory (60E05)

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Uses Software

• Maple

Cites Work

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• An introduction to copulas.
• The generalized beta- and F-distributions in statistical modelling
• A bivariate beta distribution.
• A dependent bivariate \(t\) distribution with marginals on different degrees of freedom
• Multivariate t and beta distributions associated with the multivariate F distribution
• An Empirical Bayes Model for Markov-Dependent Binary Sequences with Randomly Missing Observations
• Properties and applications of the sarmanov family of bivariate distributions
• A Skew Extension of the T-Distribution, with Applications
• Multivariate T-Distributions and Their Applications
• Statistical Methods for Eliciting Probability Distributions
• On Dependent Tests of Significance in the Analysis of Variance

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