Efficiency of estimates - Part I

Ghosh, J. K. (1985) Efficiency of estimates - Part I Sankhya Series A, 47 . pp. 310-325. ISSN 0581-572X

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The paper provides a partly expository, partly historical review of various results and techniques in the area of asymptotic efficiency. The following topics are discussed. Fisher's and LeCam's inequality, Cramer-Rao inequality, Haick-Inagaki convolution theorem, local asymptotic minimaxity, asymptotic normality of posteriors, approximate Bayes character of maximum likelihood estimates, and limiting experiments.

Item Type:Article
Source:Copyright of this article belongs to Indian Statistical Institute.
Keywords:Cramer-Rao Inequality; Asymptotic Efficiency; Local Asymptotic Minimaxity; Limiting Experiment
ID Code:22553
Deposited On:24 Nov 2010 08:19
Last Modified:02 Jun 2011 07:17

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