Mathematical Statistics

Essays on History and Methodology

  • Johann Pfanzagl

Part of the Springer Series in Statistics book series (SSS)

Also part of the Perspectives in Statistics book sub series (PSS)

Table of contents

  1. Front Matter
    Pages i-x
  2. Johann Pfanzagl
    Pages 1-10
  3. Johann Pfanzagl
    Pages 11-41
  4. Johann Pfanzagl
    Pages 43-81
  5. Johann Pfanzagl
    Pages 107-304
  6. Back Matter
    Pages 305-316

About this book

Introduction

This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, because a meaningful concept of optimality (based on the regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson’s Theorem) was not yet available. The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory. Primarily focused on methodology, questionable proofs and neglected questions of priority, the book offers an intriguing resource for researchers in theoretical statistics, and can also serve as a textbook for advanced courses in statistics.

Keywords

Convolution Theorem Descriptive Statistics Statistical Theory History of Statistics Sufficient Statistics Descriptive Statistics Tests and Confidence Procedures Optimality Concepts for Unbiased Estimators Asymptotic Optimality of Estimators Regular Estimators Nonparametric Statistics

Authors and affiliations

  • Johann Pfanzagl
    • 1
  1. 1.Mathematical InstituteUniversity of CologneCologneGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31084-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-31083-6
  • Online ISBN 978-3-642-31084-3
  • Series Print ISSN 0172-7397
  • Series Online ISSN 2197-568X
  • About this book
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