Christopher C. Heyde

Quasi-Likelihood And Its Application (eBook, PDF)

A General Approach to Optimal Parameter Estimation

• Format: PDF

Produktbeschreibung

This important book in statistical theory by one of the leading experts in this area unifies the two two important approaches to statistical parameter estimation. It will be of interest to researchers and graduate students in both mathematical statistics and probability theory.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 236
• Erscheinungstermin: 8. Januar 2008
• Englisch
• ISBN-13: 9780387226798
• Artikelnr.: 44007337

Inhaltsangabe

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.