Abstract
Kagan and Shepp [ The American Statistician 59 (2005) 54–56] presented an elegant example of a mixture model for which an insufficient statistic preserves Fisher information. This note uses the regularity property of differentiability in quadratic mean to provide another explanation for the phenomenon they observed. Some connections with Le Cam’s theory for convergence of experiments are noted.
Information
Published: 1 January 2013
First available in Project Euclid: 8 March 2013
zbMATH: 1346.62006
MathSciNet: MR3202639
Digital Object Identifier: 10.1214/12-IMSCOLL919
Subjects:
Primary:
60K35
,
60K35
Secondary:
60K35
Keywords:
differentiability in quadratic mean
,
Fisher information
,
Hellinger differentiability of probability models
,
Le Cam’s distance between statistical models
,
score function
,
sufficiency
Rights: Copyright © 2010, Institute of Mathematical Statistics