Asymptotic Statistics : : With a View to Stochastic Processes / / Reinhard Höpfner.

This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent and ident...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2014]
©2014
Year of Publication:2014
Language:English
Series:De Gruyter Textbook
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Physical Description:1 online resource (276 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • Chapter 1 Score and Information
  • Chapter 2 Minimum Distance Estimators
  • Chapter 3 Contiguity
  • Chapter 4 L2-differentiable Statistical Models
  • Chapter 5 Gaussian Shift Models
  • Chapter 6 Quadratic Experiments and Mixed Normal Experiments
  • Chapter 7 Local Asymptotics of Type LAN, LAMN, LAQ
  • Chapter 8 Some Stochastic Process Examples for Local Asymptotics of Type LAN, LAMN and LAQ
  • Chapter 9 Appendix
  • Bibliography
  • Index