Understanding Uncertainty ( Wiley Series in Probability and Statistics )

Publication series :Wiley Series in Probability and Statistics

Author: Dennis V. Lindley  

Publisher: John Wiley & Sons Inc‎

Publication year: 2013

E-ISBN: 9781118650110

P-ISBN(Hardback):  9781118650127

Subject: O211 probability (probability theory, probability theory)

Language: ENG

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Description

Praise for the First Edition

"...a reference for everyone who is interested in knowing and handling uncertainty."
Journal of Applied Statistics

The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday life. These ideas were extended to embrace the scientific method and to show how decisions, containing an uncertain element, could be rationally made.

Featuring new material, the Revised Edition remains the go-to guide for uncertainty and decision making, providing further applications at an accessible level including:

  • A critical study of transitivity, a basic concept in probability
  • A discussion of how the failure of the financial sector to use the proper approach to uncertainty may have contributed to the recent recession
  • A consideration of betting, showing that a bookmaker's odds are not expressions of probability
  • Applications of the book’s thesis to statistics
  • A demonstration that some techniques currently popular in statistics, like significance tests, may be unsound, even seriously misleading, because they violate the rules of probability

Understanding Uncertainty, Revised Edition is ideal for students studying probability or statistics and for anyone interested in one of the most fascinating and vibrant fields of study in contemporary science and mathematics.

Chapter

Contents

pp.:  1 – 7

Preface

pp.:  7 – 13

Prologue

pp.:  13 – 15

Chapter 1: Uncertainty

pp.:  15 – 19

Chapter 2: Stylistic Questions

pp.:  19 – 41

Chapter 3: Probability

pp.:  41 – 63

Chapter 4: Two Events

pp.:  63 – 87

Chapter 5: The Rules of Probability

pp.:  87 – 103

Chapter 6: Bayes Rule

pp.:  103 – 131

Chapter 7: Measuring Uncertainty

pp.:  131 – 161

Chapter 8: Three Events

pp.:  161 – 183

Chapter 9: Variation

pp.:  183 – 207

Chapter 10: Decision Analysis

pp.:  207 – 243

Chapter 11: Science

pp.:  243 – 283

Chapter 12: Examples

pp.:  283 – 317

Chapter 13: Probability Assessment

pp.:  317 – 345

Chapter 14: Statistics

pp.:  345 – 361

Epilogue

pp.:  361 – 393

Subject Index

pp.:  393 – 401

Index of Examples

pp.:  401 – 409

Index of Notations

pp.:  409 – 411

LastPages

pp.:  411 – 422

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