Characterizations of natural exponential families with power variance functions by zero regression properties

Shaul K. Bar-Lev, Osnat Stramer

Research output: Contribution to journalArticlepeer-review

Abstract

Series of new characterizations by zero regression properties are derived for the distributions in the class of natural exponential families with power variance functions. Such a class of distributions has been introduced in Bar-Lev and Enis (1986) in the context of an investigation of reproductible exponential families. This class is broad and includes the following families: normal, Poisson-type, gamma, all families generated by stable distributions with characteristic exponent an element of the unit interval (among these are the inverse Gaussian, Modified Bessel-type, and Whittaker-type distributions), and families of compound Poisson distributions generated by gamma variates. The characterizations by zero regression properties are obtained in a unified approach and are based on certain relations which hold among the cumulants of the distributions in this class. Some remarks are made indicating how the techniques used here can be extended to obtain characterizations of general exponential families.

Original languageEnglish
Pages (from-to)509-522
Number of pages14
JournalProbability Theory and Related Fields
Volume76
Issue number4
DOIs
StatePublished - Dec 1987

ASJC Scopus subject areas

  • Analysis
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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