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20192021
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math.ST2021

Algorithm for the product of Jack polynomials and its application to the sphericity test

Koki Shimizu, Hiroki Hashiguchi

In this study, we derive the density and distribution function of a ratio of the largest and smallest eigenvalues of a singular beta-Wishart matrix for the sphericity test. These f…

math.ST2021

Generalized heterogeneous hypergeometric functions and the distribution of the largest eigenvalue of an elliptical Wishart matrix

Aya Shinozaki, Koki Shimizu, Hiroki Hashiguchi

In this study, we derive the exact distributions of eigenvalues of a singular Wishart matrix under an elliptical model. We define generalized heterogeneous hypergeometric functions…

math.ST2021

Approximation to probability density functions in sampling distributions based on Fourier cosine series

Shigekazu Nakagawa, Hiroki Hashiguchi, Yoko Ono

We derive a simple and precise approximation to probability density functions in sampling distributions based on the Fourier cosine series. After clarifying the required conditions…

math.ST2020

Expressing the largest eigenvalue of a singular beta F-matrix with heterogeneous hypergeometric functions

Koki Shimizu, Hiroki Hashiguchi

In this paper, the exact distribution of the largest eigenvalue of a singular random matrix for multivariate analysis of variance (MANOVA) is discussed. The key to developing the d…

math.ST2019

Heterogeneous hypergeometric functions with two matrix arguments and the exact distribution of the largest eigenvalue of a singular beta-Wishart matrix

Koki Shimizu, Hiroki Hashiguchi

This paper discusses certain properties of heterogeneous hypergeometric functions with two matrix arguments. These functions are newly defined but have already appeared in statisti…