In this paper we consider characterizations of the binomial, negative binomial, hypergeometric, negative hypergeometric, multinomial and multivariate hypergeometric distributions, by linear regression of one random variable (vector) on the other and the conditional distribution of the other random v
On characterization of power series distributions by a marginal distribution and a regression function
โ Scribed by A. Kyriakoussis; H. Papageorgiou
- Publisher
- Springer Japan
- Year
- 1989
- Tongue
- English
- Weight
- 200 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0020-3157
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โฆ Synopsis
The conditional distribution of Y given X = x, where X and Y are non-negative integer-valued random variables, is characterized in terms of the regression function of X on Y and the marginal distribution of X which is assumed to be of a power series form. Characterizations are given for a binomial conditional distribution when X follows a Poisson, binomial or negative binomial, for a hypergeometric conditional distribution when X is binomial and for a negative hypergeometric conditional distribution when X follows a negative binomial.
๐ SIMILAR VOLUMES
This paper characterizes a class of multivariate survival functions in terms of the minimum and marginal distributions.
Problems of specifying bivariate discrete distributions by a conditional distribution and a regression function are investigated. A review of the known results, together with new characterizations involving conditional power series laws, is given. Also some remarks on a method making use of marginal