Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Daya K Nagar"'
Publikováno v:
PLoS ONE, Vol 19, Iss 10, p e0311888 (2024)
In this paper, a generalized bivariate Kummer-beta distribution is proposed. The name derives from the fact that its particular cases include univariate Kummer-beta distributions. This distribution generalizes a number of existing bivariate beta dist
Externí odkaz:
https://doaj.org/article/71fdf1d8b04842479d158ce21fd59b11
Publikováno v:
Results in Applied Mathematics, Vol 15, Iss , Pp 100286- (2022)
By using the well known Selberg integral we define a bivariate beta distribution. Unlike other bivariate beta distributions which have support on the simplex {(x,y):x>0,y>0,x+y
Externí odkaz:
https://doaj.org/article/b2a35d84dec54c4ea02ee605550e02f3
Publikováno v:
Results in Applied Mathematics, Vol 15, Iss , Pp 100284- (2022)
In this article, a bimatrix gamma distributions is introduced. Various mathematical properties of the proposed distribution like marginal distributions, expected values, entropies, and moment generating function are derived. Also, distributions of su
Externí odkaz:
https://doaj.org/article/d2f45cbcd0cd404d99506caa3bdbac16
Publikováno v:
Revstat Statistical Journal, Vol 20, Iss 1 (2022)
In this paper a generalized matrix variate gamma distribution, which includes a trace function in the kernel of the density, is introduced. Some important statistical properties including Laplace transform, distributions of functions, expected value
Externí odkaz:
https://doaj.org/article/b08754847b4a40bb89090358f2e5b1e0
Publikováno v:
Results in Applied Mathematics, Vol 11, Iss , Pp 100161- (2021)
In this article, we propose a bimatrix variate Kummer-gamma distribution. Several properties of this distribution including moment generating function, marginal and conditional distributions, moments are also derived. These results are given in terms
Externí odkaz:
https://doaj.org/article/63484b445eb8440491b2ae3fd7152f2e
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2793 (2022)
The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data. A generalization of this distribution is the truncated multivariate skew-t distribution
Externí odkaz:
https://doaj.org/article/0688899a5ef541528e6005991b37799b
Publikováno v:
Symmetry, Vol 14, Iss 5, p 970 (2022)
The multivariate skew-normal distribution is useful for modeling departures from normality in data through parameters controlling skewness. Recently, several extensions of this distribution have been proposed in the statistical literature, among whic
Externí odkaz:
https://doaj.org/article/67fb54ceaaf74ae38411045741314d7b
Publikováno v:
Ingeniería y Ciencia, Vol 16, Iss 32 (2020)
A new bivariate beta distribution based on the Humbert’s confluent hypergeometric function of the second kind is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities an
Externí odkaz:
https://doaj.org/article/c6f365b6e9fa4d438d2e5314a14f6e0e
Publikováno v:
Mathematics; Volume 11; Issue 9; Pages: 2162
The complex Wishart distribution has ample applications in science and engineering. In this paper, we give explicit expressions for E(tr(Wh))g(tr(Wj))i and E(tr(W−h))g(tr(W−j))i, respectively, for particular values of g, h, i, j, g+h+i+j≤5, whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::175e5f27f9fe1fd9631569f9864f36dc
Publikováno v:
Sankhya A.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b08be4d4faafc487c8da13d9e055538
https://doi.org/10.1007/s13171-022-00299-y
https://doi.org/10.1007/s13171-022-00299-y