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In this paper, we determine the density functions of doubly noncentral singular matrix variate beta type I and II distributions.

Statistics Theory · Mathematics 2009-04-15 J. A. Diaz-Garcia , R. Gutierrez-Jaimez

In this paper, the study of bivariate generalised beta type I and II distributions is extended to the complex matrix variate case, for which the corresponding density functions are found. In addition, for complex bimatrix variate beta type…

Statistics Theory · Mathematics 2009-06-08 Jose A. Diaz-Garcia , Ramon Gutierrez-Jaimez

In this paper, the densities of the doubly singular beta type I and II distributions are found, and the joint densities of their corresponding nonzero eigenvalues are provided. As a consequence, the density function of a singular inverted…

Statistics Theory · Mathematics 2009-04-15 J. A. Diaz-Garcia , R. Gutierrez-Jaimez

In this paper, we extend the study of bivariate generalised beta type I and II distributions to the matrix variate case.

Statistics Theory · Mathematics 2009-04-14 J. A. Diaz-Garcia , R. Gutierrez-Jaimez

Several distributions are studied, simultaneously in the real, complex, quaternion and octonion cases. Specifically, these are the central, nonsingular matricvariate and matrix multivariate T and beta type II distributions and the joint…

Statistics Theory · Mathematics 2010-11-24 Jose A. Diaz-Garcia , Ramon Gutierrez-Jaimez

Exact formulas are derived for the probability density functions of the sum and difference of two independent non-central gamma distributed random variables, with both series and integral representations of the density presented. These…

Probability · Mathematics 2026-05-18 Robert E. Gaunt , Heather L. Sutcliffe

We derive the distribution of the ratio of a non-central mean matrix and a sample covariance matrix. This aligns with the confluent term ${}_1F_1$ in the non-central uni-variate Student's $t$. Some extensions of matrix-variate distributions…

Statistics Theory · Mathematics 2026-04-24 Haoming Wang

This paper proposes a unified approach to enable the study of diverse distributions in the real, complex, quaternion and octonion cases, simultaneously. In particular, the central, nonsingular matricvariate and matrix multivariate Pearson…

Statistics Theory · Mathematics 2010-11-24 Jose A. Diaz-Garcia , Ramon Gutierrez-Jaimez

Matrix multivariate Pearson type II-Riesz distribution is defined and some of its properties are studied. In particular, the associated matrix multivariate beta distribution type I is derived. Also the singular values and eigenvalues…

Statistics Theory · Mathematics 2015-06-25 Jose A. Diaz-Garcia , Ramon Gutierrez-Sanchez

This paper proposes a generalisation of the Pearson type II distribution, which shall termed Pearson Type II-Riesz distribution, based in the Kotz-Riesz distribution. Specifically, the central nonsingular matricvariate generalised Pearson…

Statistics Theory · Mathematics 2015-06-17 Jose A. Diaz-Garcia , Francisco J. Caro-Lopera

The computation and inversion of the binomial and negative binomial cumulative distribution functions play a key role in many applications. In this paper, we explain how methods used for the central beta distribution function (described in…

Classical Analysis and ODEs · Mathematics 2020-01-14 A. Gil , J. Segura , N. M. Temme

The beta distribution is a basic distribution serving several purposes. It is used to model data, and also, as a more flexible version of the uniform distribution, it serves as a prior distribution for a binomial probability. The bivariate…

Methodology · Statistics 2014-09-17 Ingram Olkin , Thomas A. Trikalinos

For a sample of absolutely bounded i.i.d. random variables with a continuous density the cumulative distribution function of the sample variance is represented by a univariate integral over a Fourier series. If the density is a polynomial…

Statistics Theory · Mathematics 2008-10-10 T. Royen

Motivated by applications in Bayesian analysis we introduce a multidimensional beta distribution in an ordered simplex. We study properties of this distribution and connect them with the generalized incomplete beta function. This function…

Methodology · Statistics 2023-05-02 Mayad Al-Saidi , Alexey Kuznetsov , Mikhail Nediak

The density function of the limiting spectral distribution of general sample covariance matrices is usually unknown. We propose to use kernel estimators which are proved to be consistent. A simulation study is also conducted to show the…

Statistics Theory · Mathematics 2012-11-15 Bing-Yi Jing , Guangming Pan , Qi-Man Shao , Wang Zhou

The beta family owes its privileged status within unit interval distributions to several relevant features such as, for example, easyness of interpretation and versatility in modeling different types of data. However, its flexibility at the…

Statistics Theory · Mathematics 2017-06-28 Carlo Orsi

Starting with the average particle distribution function for bosons and fermions for non-extensive thermodynamics , as proposed in \cite{CMP}, we obtain the corresponding density matrix operators and hamiltonians. In particular, for the…

Statistical Mechanics · Physics 2018-09-26 Marcelo R. Ubriaco

We establish the convergence of the densities of a sequence of nonlinear functionals of an underlying Gaussian process to the density of a Gamma distribution. The key idea of our work is a new density formula for random variables in the…

Probability · Mathematics 2025-11-17 Solesne Bourguin , Thanh Dang , Yaozhong Hu

The mathematical properties of a family of generalized beta distribution, including beta-normal, skewed-t, log-F, beta-exponential, beta-Weibull distributions have recently been studied in several publications. This paper applies these…

Methodology · Statistics 2007-10-26 J. H. Sepanski , Lingji Kong

The computation and inversion of the noncentral beta distribution $B_{p,q}(x,y)$ (or the noncentral $F$-distribution, a particular case of $B_{p,q}(x,y)$) play an important role in different applications. In this paper we study the…

Classical Analysis and ODEs · Mathematics 2019-05-20 A. Gil , J. Segura , N. M. Temme
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