Ghosh, J. K. (1985) Efficiency of estimates - Part I Sankhya Series A, 47 . pp. 310-325. ISSN 0581-572X
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Official URL: http://sankhya.isical.ac.in/search/47a3/47a3032.ht...
Abstract
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 |
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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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