Decision Theory

Decision Theory

Author(s): Giovanni Parmigiani, Lurdes Y. T. Inoue

Published Online: 1 DEC 2010 10:34AM EST

Print ISBN: 9780471496571

Online ISBN: 9780470746684

DOI: 10.1002/9780470746684

Series Editor(s): Walter A. Shewhart, Samuel S. Wilks

About this Book

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice.

The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives.

This book:

  • Provides a rich collection of techniques and procedures.
  • Discusses the foundational aspects and modern day practice.
  • Links foundations to practical applications in biostatistics, computer science, engineering and economics.
  • Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics.

Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.

Table of contents

    1. You have free access to this content
  1. Part One: Foundations

  2. Part Two: Statistical Decision Theory

  3. Part Three: Optimal Design

    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content