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Making Decisions, 2nd Edition Papeback - - 2nd Edition
by Dennis V. Lindley
- New
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Details
- Title Making Decisions, 2nd Edition
- Author Dennis V. Lindley
- Binding Papeback
- Edition number 2nd
- Edition 2
- Condition New
- Pages 220
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons , London
- Date pp. 220
- Features Glossary, Index
- Bookseller's Inventory # 6366956
- ISBN 9780471908081 / 0471908088
- Weight 0.8 lbs (0.36 kg)
- Dimensions 8.96 x 5.94 x 0.54 in (22.76 x 15.09 x 1.37 cm)
- Library of Congress subjects Statistical decision
- Library of Congress Catalog Number 85012010
- Dewey Decimal Code 519.542
About Cold Books New York, United States
Biblio member since 2012
First line
The subject matter of this book is decision-making: a study of how decisions about which course of action to pursue ought to be made.
From the rear cover
Making Decisions Second Edition D.V. Lindley Formerly Professor of Statistics, University College London This book looks at the problems involved in decision-making and argues that there is only one logical way to make a decision. By the use of three basic principles--assigning probabilities to the uncertain events; assigning utilities to the possible consequences; and choosing that decision that maximizes expected utility--decisions can be reached more efficiently and with less disagreement. It shows that only maximization of expected utility leads to sensible decision-making. This extensively revised second edition uses only elementary mathematics and will be of interest to all those concerned with decision-making and its consequences. Since his retirement from University College London in 1977 Professor Lindley has held visiting appointments at Berkeley, University of Florida, George Washington University, University of Sao Paulo, University of Wisconsin, Monash University, Australia, and University of Canterbury, New Zealand. Contents
- Decisions and uncertain events
- A numerical measure for uncertainty
- The laws of probability
- A numerical measure for consequences
- The utility of money
- Bayes' Theorem
- Value of information
- Decision trees
- The assessment of probabilities and utilities
- An appreciation