Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T16:41:52.680Z Has data issue: false hasContentIssue false

Characterizations of distributions through some identities

Published online by Cambridge University Press:  14 July 2016

B. L. S. Prakasa Rao*
Affiliation:
Indian Statistical Institute, New Delhi
*
Postal address: Indian Statistical Institute, Delhi Centre, 7, S.J.S. Sansanwal Marg, New Delhi 110029, India.

Abstract

Some characterizations of continuous and discrete exponential families of distributions are given. These characterizations are used to obtain some limit theorems.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1979 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Bondesson, L. (1974) Characterizations of probability laws through constant regression. Z. Wahrscheinlichkeitsth. 30, 93115.CrossRefGoogle Scholar
[2] Chen, L. H. Y. (1972) An elementary proof of the central limit theorem. Bull. Singapore Math. Soc. , 112.Google Scholar
[3] Elsgolts, L. (1973) Differential Equations and the Calculus of Variations. Mir, Moscow.Google Scholar
[4] Hazendock, J. (1977) Une généralisation du théorème de la limite centrale de Lindeberg. C. R. Acad. Sci. Paris A 285, 797800.Google Scholar
[5] Hudson, H. M. (1978) A natural identity for exponential families with applications in multiparameter estimation. Ann. Statist. 6, 473484.Google Scholar
[6] Stein, C. M. (1973) Estimation of the mean of a multivariate normal distribution. Technical Report No. 48, Stanford University.Google Scholar