Finite form representations for Meijer \(G\) and Fox \(H\) functions. Applied to multivariate likelihood ratio tests using Mathematica, MAXIMA and R

DOI10.1007/978-3-030-28790-0zbMath1428.62003OpenAlexW3183067583MaRDI QIDQ2325679

Publication date: 27 September 2019

Published in: Lecture Notes in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-28790-0

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

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On the Distribution of Linear Combinations of Chi-Square Random Variables ⋮ The distribution of the non-central Wilks statistic in the complex case ⋮ Hypothesis testing in multivariate normal models with block circular covariance structures ⋮ Approximation for the distribution function of non-central complex Wilks statistic ⋮ Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review ⋮ Erlang mixture distribution with application on COVID-19 cases in Egypt ⋮ Computing the exact distribution of a linear combination of generalized logistic random variables and its applications

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