Items related to Introduction to Statistical Decision Theory
Synopsis
The Bayesian revolution in statistics—where statistics is integrated with decision making in areas such as management, public policy, engineering, and clinical medicine—is here to stay. Introduction to Statistical Decision Theory states the case and in a self-contained, comprehensive way shows how the approach is operational and relevant for real-world decision making under uncertainty.
Starting with an extensive account of the foundations of decision theory, the authors develop the intertwining concepts of subjective probability and utility. They then systematically and comprehensively examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes. For each process they consider how prior judgments about the uncertain parameters of the process are modified given the results of statistical sampling, and they investigate typical decision problems in which the main sources of uncertainty are the population parameters. They also discuss the value of sampling information and optimal sample sizes given sampling costs and the economics of the terminal decision problems.
Unlike most introductory texts in statistics, Introduction to Statistical Decision Theory integrates statistical inference with decision making and discusses real-world actions involving economic payoffs and risks. After developing the rationale and demonstrating the power and relevance of the subjective, decision approach, the text also examines and critiques the limitations of the objective, classical approach.
"synopsis" may belong to another edition of this title.
About the Author
John Pratt is Professor Emeritus of Business Administration at Harvard Business School.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Search results for Introduction to Statistical Decision Theory
Stock Image
Introduction to Statistical Decision Theory (The MIT Press)
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_360029168
Quantity: 1 available
Stock Image
Introduction to Statistical Decision Theory
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 3.26. Seller Inventory # G026266206XI4N00
Quantity: 1 available
Stock Image
Introduction To Statistical Decision Theory
Published by
The MIT Press, 1995
ISBN 10: 026266206X
ISBN 13: 9780262662062
Used
Paperback
First Edition
Seller: Tacoma Book Center, Tacoma, WA, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: Very Good. Dust Jacket Condition: No Dustjacket. First Edition. ISBN 9780262662062. Thick Trade paperback. Near Fine condition. Tight bright attractive copy with no markings to the book. As new condition. This book is Introduction to Statistical Decision Theory. No Signature. Seller Inventory # 222867
Quantity: 1 available
Stock Image
Introduction to Statistical Decision Theory Pratt, John Raiffa, Howard and Schlaifer, Robert
Seller: College Campus, North Fort Myers, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used. Seller Inventory # 026216144313122-KEPA-1214230265
Quantity: 1 available
Stock Image
Introduction to Statistical Decision Theory
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned026266206X
Quantity: 1 available