Andishe_ye Amari

Andishe_ye Amari

Independence of adjoint and inadjoint functions in the generalized normal family

Document Type : Original Article

Author
Faculty Member, Department of Statistics, Kashan University, Iran
Abstract
In this paper, by invoking the generalized normal distribution, which is a generalized exponential family with location and scale parameters, we present a necessary and sufficient condition for the independence of a spatially invariant statistic from a spatially covariant sufficient statistic, which is a maximum likelihood estimator. Finally, we show that the converse is true except in asymptotic cases.
Keywords

Volume 23, Issue 1
September 2018
Pages 13-19

  • Receive Date 10 May 2025
  • First Publish Date 10 May 2025
  • Publish Date 23 August 2018