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Quasi-Likelihood And Its Application Christopher C. Heyde

Quasi-Likelihood And Its Application By Christopher C. Heyde

Quasi-Likelihood And Its Application by Christopher C. Heyde


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Summary

The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool.

Quasi-Likelihood And Its Application Summary

Quasi-Likelihood And Its Application: A General Approach to Optimal Parameter Estimation by Christopher C. Heyde

The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool. The treatment is rather informal, emphasizing essential principles rather than detailed proofs, and readers are assumed to have a firm grounding in probability and statistics at the graduate level. Many examples of the use of the methods in both classical statistical and stochastic process contexts are provided.

Table of Contents

The General Framework.- An Alternative Approach: E-Sufficiency.- Asymptotic Confidence Zones of Minimum Size.- Asymptotic Quasi-Likelihood.- Combining Estimating Functions.- Projected Quasi-Likelihood.- Bypassing the Likelihood.- Hypothesis Testing.- Infinite Dimensional Problems.- Miscellaneous Applications.- Consistency and Asymptotic Normality for Estimating Functions.- Complements and Strategies for Application.

Additional information

NPB9780387982250
9780387982250
0387982256
Quasi-Likelihood And Its Application: A General Approach to Optimal Parameter Estimation by Christopher C. Heyde
New
Hardback
Springer-Verlag New York Inc.
1997-07-31
236
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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