A characterization theorem based on the proportional relation between two truncated moments is proved for both continuous and discrete distributions. The results are applied for characterizing distributions of Pearson's system and its discrete analogon. © 1984 Springer-Verlag.status: publishe
Abstract: A truncated version of the bivariate t distribution is introduced. Unlike the t distributi...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
Pearson-type distributions can be characterized by the ratio of the first and the second moments tru...
Characterization of a probability distribution plays an important role in statistics and probability...
Most of the well-known univariate continuous distributions are characterized based on a simple relat...
The problem of characterizing a distribution is an important problem which has recently attracted th...
Inthis paper,we define partial moments for a univariate continuous random variable. A recurrence rel...
Variuos characterizations of the class of exponentiated distributions are presented. These cha...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
In this paper characterization properties based on conditional expectation of a continuous function ...
In this work we have considered the problem of finding the moments of a doubly truncated member of t...
A probability distribution can be characterized through various methods. In this paper, some new cha...
Various characterizations of twenty two recently introduced distributions are presented. These chara...
A simple relationship between expectations of positive functions of random variables from truncated ...
Abstract: A truncated version of the bivariate t distribution is introduced. Unlike the t distributi...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...
Pearson-type distributions can be characterized by the ratio of the first and the second moments tru...
Characterization of a probability distribution plays an important role in statistics and probability...
Most of the well-known univariate continuous distributions are characterized based on a simple relat...
The problem of characterizing a distribution is an important problem which has recently attracted th...
Inthis paper,we define partial moments for a univariate continuous random variable. A recurrence rel...
Variuos characterizations of the class of exponentiated distributions are presented. These cha...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
In this paper characterization properties based on conditional expectation of a continuous function ...
In this work we have considered the problem of finding the moments of a doubly truncated member of t...
A probability distribution can be characterized through various methods. In this paper, some new cha...
Various characterizations of twenty two recently introduced distributions are presented. These chara...
A simple relationship between expectations of positive functions of random variables from truncated ...
Abstract: A truncated version of the bivariate t distribution is introduced. Unlike the t distributi...
AbstractIn recent papers, Johnson and Kotz (Amer. Statist.44, 245-249 (1990); Math. Sci.15, 42-52 (1...
In recent papers, Johnson and Kotz (Amer. Statist. 44, 245-249 (1990); Math. Sci. 15, 42-52 (1990)) ...