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August, 1972 Sufficient Statistics and Discrete Exponential Families
J. L. Denny
Ann. Math. Statist. 43(4): 1320-1322 (August, 1972). DOI: 10.1214/aoms/1177692483

Abstract

$\{P_\theta\}$ is a set of probabilities on a countable set $_\chi$ such that $P_\theta(x) > 0$ for each $x$ and $\theta$. We prove that if $\{P_\theta\}$ is not an exponential family, then each sufficient statistic for $n$ independent observations must be one-to-one, modulo permutations, on an infinite product set (which does not depend on the sufficient statistic).

Citation

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J. L. Denny. "Sufficient Statistics and Discrete Exponential Families." Ann. Math. Statist. 43 (4) 1320 - 1322, August, 1972. https://doi.org/10.1214/aoms/1177692483

Information

Published: August, 1972
First available in Project Euclid: 27 April 2007

zbMATH: 0251.62003
MathSciNet: MR339366
Digital Object Identifier: 10.1214/aoms/1177692483

Rights: Copyright © 1972 Institute of Mathematical Statistics

Vol.43 • No. 4 • August, 1972
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