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Hardcover Making Decisions Book

ISBN: 0471537853

ISBN13: 9780471537854

Making Decisions

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Format: Hardcover

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Book Overview

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 Appendix Answers to exercises Glossary of Symbols Subject Index This description may be from another edition of this product.

Customer Reviews

2 customer ratings | 2 reviews

Rated 5 stars
Very cheap and on time

The book came 3 days into the 18 day window for delivery. I got the new book for half of the price of a used book from our bookstore. Very happy :)

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Rated 5 stars
Lindley expouses the Bayesian approach to decision theory

Dennis Lindley is a strong believer in the subjective approach to probability that is called Bayesian. He has written texts on probability and statistics that presents strong arguments for why he believes it is the only correct way to formulate a theory of probability and to coherently apply probabilty to problems in statistical inference. Statistical decision theory developed in the 1940s and 1950s as a way to incorporate...

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