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Applied Statistical Decision Theory
"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
Introduction to Statistical Decision Theory
They then examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes.
Introduction to Statistical Decision Theory
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. Fo...
Optimal Statistical Decision & Bayesian Inference in Statistical Analysis & Applied Statistical Decision Theory
Set that includes three works covering statistical decision theory and analysis The three books within this set are Optimal Statistical Decisions, Bayesian Inference in Statistical Analysis, and Applied Statistical Decision Theory. Optimal Statistical Decisions discusses the theory and methodology of decision-making in the field. The volume stands as a clear introduction to Bayesian statistical decision theory. A second book, Bayesian Inference in Statistical Analysis, examines the application and relevance of Bayes' theorem to problems that occur during scientific investigations, where inferences must be made regarding parameter values about which little is known. Key aspects of the Bayesian approach are discussed, including the choice of prior distribution, the problem of nuisance parameters, and the role of sufficient statistics. Applied Statistical Decision Theory covers the development of analytic techniques in the field of statistical decision theory. This classic book was first published in the 1960s.
Fischer Black and the Revolutionary Idea of Finance
praise for FISCHER BLACK AND THE REVOLUTIONARY IDEA OF FINANCE "The story of Fischer Black. . . . is remarkable both because of the creativity of the man and because of the revolution he brought to Wall Street. . . . Mehrling's book is fascinating." —FINANCIAL TIMES "A fascinating history of things we take for granted in our everyday financial lives." —THE NEW YORK TIMES "Mehrling's book is essential reading for anyone interested in the development of modern finance or the life of an idiosyncratic creative genius." —PUBLISHERS WEEKLY "Fischer Black was more than a vital force in the development of finance theory. He was also a character. Perry Mehrling has captured both sides of the pi...
