Statistical Decision Theory

  • Nicholas T. Longford

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-x
  2. Nicholas T. Longford
    Pages 1-15
  3. Nicholas T. Longford
    Pages 17-31
  4. Nicholas T. Longford
    Pages 33-47
  5. Nicholas T. Longford
    Pages 49-64
  6. Nicholas T. Longford
    Pages 65-77
  7. Nicholas T. Longford
    Pages 79-93
  8. Nicholas T. Longford
    Pages 95-109
  9. Nicholas T. Longford
    Pages 111-119
  10. Back Matter
    Pages 121-124

About this book

Introduction

This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss.

Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.

Keywords

decision theory equilibrium priors small-area estimation

Authors and affiliations

  • Nicholas T. Longford
    • 1
  1. 1.Universitat Pompeu Fabra Dept. of Economics and BusinessBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-40433-7
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-40432-0
  • Online ISBN 978-3-642-40433-7
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • About this book
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