In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) have explored the utility of moment calculations as a simple way of establishing distributional forms. In particular a characterization theorem for beta distributions has been proved. In this paper these methods are extended to multivariate problems, and a result is established for Dirichlet distributions
The main objective of the present paper is to define k-gamma and k-beta distributions and moments ge...
It is shown how rth moments of random variables and rth product moments of spacings between random v...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
For any multivariate distribution with finite moments we can ask, as in the univariate case, whether...
Characterizations based on a product of independent random variables are presented for gamma and bet...
AbstractFor any multivariate distribution with finite moments we can ask, as in the univariate case,...
Let $ S\sim W_k(n,\boldsymbol\Sigma)$. Write $ W= S/\text{tr}\,\boldsymbol\Sigma ˆ - S$ and den...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
AbstractLet X1, …, Xn be real, symmetric, m×m random matrices; denote by Im the m×m identity matrix;...
elationships between F, skew t and beta distributions in the univariate case are in this paper exten...
In probabilistic terms Hardy’s condition is written as follows: E[ec X] <∞, where X is a nonnegat...
AbstractRamachandran (1969) [9, Theorem 8] has shown that for any univariate infinitely divisible di...
The main objective of the present paper is to define k-gamma and k-beta distributions and moments ge...
It is shown how rth moments of random variables and rth product moments of spacings between random v...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
For any multivariate distribution with finite moments we can ask, as in the univariate case, whether...
Characterizations based on a product of independent random variables are presented for gamma and bet...
AbstractFor any multivariate distribution with finite moments we can ask, as in the univariate case,...
Let $ S\sim W_k(n,\boldsymbol\Sigma)$. Write $ W= S/\text{tr}\,\boldsymbol\Sigma ˆ - S$ and den...
In this paper, we describe a tool to aid in proving theorems about random variables, called the mome...
AbstractLet X1, …, Xn be real, symmetric, m×m random matrices; denote by Im the m×m identity matrix;...
elationships between F, skew t and beta distributions in the univariate case are in this paper exten...
In probabilistic terms Hardy’s condition is written as follows: E[ec X] <∞, where X is a nonnegat...
AbstractRamachandran (1969) [9, Theorem 8] has shown that for any univariate infinitely divisible di...
The main objective of the present paper is to define k-gamma and k-beta distributions and moments ge...
It is shown how rth moments of random variables and rth product moments of spacings between random v...
We derive formulae for the higher order tail moments of the lower truncated multivariate standard no...