Applied Statistical Decision Theory

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Wiley, Jun 2, 2000 - Mathematics - 356 pages
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"In the field of statistical decision theory, Raiffa and Schlaifer have sought to develop new analytic techniques by which the modern theory of utility and subjective probability can actually be applied to the economic analysis of typical sampling problems."
—From the foreword to their classic work Applied Statistical Decision Theory. First published in the 1960s through Harvard University and MIT Press, the book is now offered in a new paperback edition from Wiley

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The Problem and the Two Basic Modes of Analysis
Combination of Formal and Informal Analysis
Prior Weights and Consistent Behavior

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About the author (2000)

Howard Raiffa was born in the Bronx, New York on January 24, 1924. He was attending City College when he enlisted in the Army Air Corps, where he was a radar specialist. He received a bachelor's degree in mathematics in 1946, a master's degree in statistics, and a doctorate in mathematics from the University of Michigan in Ann Arbor. He taught at Columbia University from 1952 to 1957 and then joined the faculty of the business school at Harvard University. He was a co-founder of the John F. Kennedy School of Government at Harvard (now the Harvard Kennedy School). He was a member of the university faculty for 37 years before retiring in 1994. He pioneered what became known as decision science - a discipline that encompasses negotiating techniques, conflict resolution, risk analysis, and game theory. He was the author of 11 books including Games and Decisions: Introduction and Critical Survey written with R. Duncan Luce, Applied Statistical Decision Theory written with Robert Schlaifer, The Art and Science of Negotiation: How to Resolve Conflicts and Get the Best Out of Bargaining, Decision Analysis: Introductory Lectures on Choices Under Uncertainty, and Smart Choices: A Practical Guide to Making Better Decisions written with John S. Hammond and Ralph L. Keeney. He died from Parkinson's disease on July 8, 2016 at the age of 92.

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