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The Nature of Statistical Evidence

  • BillĀ Thompson

Part of the Lecture Notes in Statistics book series (LNS, volume 189)

Table of contents

  1. Front Matter
    Pages i-x
  2. Overview

    1. Pages 1-5
  3. The Context

  4. Interpreting Probability

  5. Statistical Models of Induction

  6. Back Matter
    Pages 133-152

About this book

Introduction

The purpose of this book is to discuss whether statistical methods make sense. That is a fair question, at the heart of the statistician-client relationship, but put so boldly it may arouse anger. The many books entitled something like Foundations of Statistics avoid controversy by merely describing the various methods without explaining why certain conclusions may be drawn from certain data. But we statisticians need a better answer then just shouting a little louder. To avoid a duel, we prejudge the issue and ask the narrower question: "In what sense do statistical methods provide scientific evidence?"

The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions.

Bill Thompson is Professor emeritus of Statistics at the University of Missouri-Columbia. He has had practical affiliations with the National Bureau of Standards, E.I. Dupont, the U.S. Army Air Defense Board, and Oak Ridge National Laboratories. He is a fellow of the American Statistical Association and has served as associate editor of the journal of that society. He has authored the book Applied Probability.

Keywords

bayesian statistics evidence experimental science p-values probability

Authors and affiliations

  • BillĀ Thompson
    • 1
  1. 1.Department of StatisticsUniversity of Missouri-ColumbiaColumbia

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-40054-9
  • Copyright Information Springer Science+Business Media, LLC 2007
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-40050-1
  • Online ISBN 978-0-387-40054-9
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site