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Introduction to Statistical Decision Theory - John W. Pratt, Howard Raiffa, Robert Schlaifer
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Pasta blanda, [EAN: 9780262662062], Mit Pr, Mit Pr, Book, [PU: Mit Pr], Mit Pr, 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., 9570057011, Probabilidad y Estadística, 9570052011, Aplicadas, 9570050011, Matemáticas, 9569917011, Ciencia y Matemáticas, 9298577011, Categorías, 9298576011, Libros, 9575856011, Teoría, 9575834011, Economía, 9575830011, Negocios e Inversiones, 9298577011, Categorías, 9298576011, Libros, 9576281011, Estadísticas, 9576278011, Aplicadas, 9576276011, Matemáticas, 9576207011, Ciencia Profesional, 9576190011, Profesional y Técnico, 9298577011, Categorías, 9298576011, Libros, 9647831011, Ciéncia y Tecnología, 9647825011, Libros en Idiomas Extranjeros, 9298577011, Categorías, 9298576011, Libros, 9647849011, Negocios y Economía, 9647825011, Libros en Idiomas Extranjeros, 9298577011, Categorías, 9298576011, Libros

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[EAN: 9780262662062], Neubuch, [PU: MIT Press Ltd, United States], Business & Economics|Economics|General, Business & Economics|Statistics, Language: English . Brand New Book. 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.

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Paperback, [PU: MIT Press Ltd], 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., Economic Theory & Philosophy, Economic Theory & Philosophy

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Details zum Buch
Introduction to Statistical Decision Theory
Autor:

Pratt, John W.; Raiffa, Howard; Schlaifer, Robert

Titel:

Introduction to Statistical Decision Theory

ISBN-Nummer:

Unlike most introductory texts in statistics, Introduction toStatistical Decision Theory integrates statistical inference withdecision making and discusses real-world actions involving economic payoffs and risks.

Detailangaben zum Buch - Introduction to Statistical Decision Theory


EAN (ISBN-13): 9780262662062
ISBN (ISBN-10): 026266206X
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: MIT PR
875 Seiten
Gewicht: 1,479 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 27.02.2008 00:57:38
Buch zuletzt gefunden am 07.05.2017 23:05:28
ISBN/EAN: 026266206X

ISBN - alternative Schreibweisen:
0-262-66206-X, 978-0-262-66206-2


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