Elementary Decision Theory

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Elementary Decision Theory

Author : Herman Chernoff,Lincoln E. Moses
Publisher : Courier Corporation
Page : 386 pages
File Size : 45,6 Mb
Release : 2012-04-26
Category : Mathematics
ISBN : 9780486143774

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Elementary Decision Theory by Herman Chernoff,Lincoln E. Moses Pdf

"The text is very clearly written [with] many illustrative examples and exercises [and] should be considered by those instructors who would like to introduce a more modern (and a more logical) approach in a basic course in statistics." —Journal of the American Statistical Association This volume is a well-known, well-respected introduction to a lively area of statistics. Professors Chernoff and Moses bring years of professional expertise as classroom teachers to this straightforward approach to statistical problems. And happily, for beginning students, they have by-passed involved computational reasonings which would only confuse the mathematical novice. Developed from nine years of teaching statistics at Stanford, the book furnishes a simple and clear-cut method of exhibiting the fundamental aspects of a statistical problem. Beginners will find this book a motivating introduction to important mathematical notions such as set, function and convexity. Examples and exercises throughout introduce new topics and ideas. The first seven chapters are recommended for beginning courses in the basic ideas of statistics and require only a knowledge of high school math. These sections include material on data processing, probability and random variables, utility and descriptive statistics, uncertainty due to ignorance of the state of nature, computing Bayes strategies and an introduction to classical statistics. The last three chapters review mathematical models and summarize terminology and methods of testing hypotheses. Tables and appendixes provide information on notation, shortcut computational formulas, axioms of probability, properties of expectations, likelihood ratio test, game theory, and utility functions. Authoritative, yet elementary in its approach to statistics and statistical theory, this work is also concise, well-indexed and abundantly equipped with exercise material. Ideal for a beginning course, this modestly priced edition will be especially valuable to those interested in the principles of statistics and scientific method.

Decision Theory

Author : D.J. White
Publisher : Routledge
Page : 196 pages
File Size : 53,9 Mb
Release : 2018-02-06
Category : Social Science
ISBN : 9781351523325

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Decision Theory by D.J. White Pdf

All of human life may be seen as a process of decision-making, but it is only in recent years and in response to the needs of the large and complex organizations characterizing our society that this process has been subjected to scientifi c scrutiny. Out of this scrutiny-undertaken by a wide range of professionals in economics, administration, management, statistics, psychology, engineering, computer science, operations research, and systems analysis-there has begun to emerge a body of theory that has profound implications for improving practical decision-making. This book is the fi rst to bring together all the various aspects of decision theory into one cohesive treatment.

Statistical Decision Theory

Author : F. Liese,Klaus-J. Miescke
Publisher : Springer Science & Business Media
Page : 696 pages
File Size : 54,5 Mb
Release : 2008-12-30
Category : Mathematics
ISBN : 9780387731940

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Statistical Decision Theory by F. Liese,Klaus-J. Miescke Pdf

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.

Introduction to Statistical Decision Theory

Author : John W. Pratt,Howard Raiffa,Robert Schlaifer
Publisher : Unknown
Page : 1044 pages
File Size : 44,9 Mb
Release : 1965
Category : Decision making
ISBN : UOM:39015000965007

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Introduction to Statistical Decision Theory by John W. Pratt,Howard Raiffa,Robert Schlaifer Pdf

Decision Theory

Author : Giovanni Parmigiani,Lurdes Inoue
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 50,9 Mb
Release : 2009-05-26
Category : Business & Economics
ISBN : UOM:39015080846135

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Decision Theory by Giovanni Parmigiani,Lurdes Inoue Pdf

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: * Provides a rich collection of techniques and procedures. * Discusses the foundational aspects and modern day practice. * Links foundations to practical applications in biostatistics, computer science, engineering and economics. * Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.

Statistical Decision Theory

Author : Nicholas T. Longford
Publisher : Springer Science & Business Media
Page : 124 pages
File Size : 48,8 Mb
Release : 2013-10-17
Category : Mathematics
ISBN : 9783642404337

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Statistical Decision Theory by Nicholas T. Longford Pdf

This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss. Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.

Mathematics of Decision Theory

Author : Peter C. Fishburn
Publisher : Unknown
Page : 120 pages
File Size : 54,5 Mb
Release : 1972
Category : Decision-making
ISBN : UCAL:B4508687

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Mathematics of Decision Theory by Peter C. Fishburn Pdf

The Logic of Decision

Author : Richard C. Jeffrey
Publisher : University of Chicago Press
Page : 245 pages
File Size : 51,9 Mb
Release : 1990-07-15
Category : Mathematics
ISBN : 9780226395821

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The Logic of Decision by Richard C. Jeffrey Pdf

"[This book] proposes new foundations for the Bayesian principle of rational action, and goes on to develop a new logic of desirability and probabtility."—Frederic Schick, Journal of Philosophy

Decision Theory

Author : Giovanni Parmigiani,Lurdes Inoue
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 53,8 Mb
Release : 2009-04-15
Category : Mathematics
ISBN : 9780470746677

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Decision Theory by Giovanni Parmigiani,Lurdes Inoue Pdf

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: Provides a rich collection of techniques and procedures. Discusses the foundational aspects and modern day practice. Links foundations to practical applications in biostatistics, computer science, engineering and economics. Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.

Decision Theory and Decision Behaviour

Author : A. Rapoport
Publisher : Springer
Page : 484 pages
File Size : 54,5 Mb
Release : 1998-01-27
Category : Business & Economics
ISBN : 9780230377769

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Decision Theory and Decision Behaviour by A. Rapoport Pdf

The book treats two approaches to decision theory: (1) the normative, purporting to determine how a 'perfectly rational' actor ought to choose among available alternatives; (2) the descriptive, based on observations of how people actually choose in real life and in laboratory experiments. The mathematical tools used in the normative approach range from elementary algebra to matrix and differential equations. Sections on different levels can be studied independently. Special emphasis is made on 'offshoots' of both theories to cognitive psychology, theoretical biology, and philosophy.

An Introduction to Decision Theory

Author : Martin Peterson
Publisher : Cambridge University Press
Page : 351 pages
File Size : 52,5 Mb
Release : 2017-03-30
Category : Business & Economics
ISBN : 9781107151598

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An Introduction to Decision Theory by Martin Peterson Pdf

A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.

Decision Theory and Decision Behaviour

Author : Anatol Rapoport
Publisher : Springer Science & Business Media
Page : 439 pages
File Size : 48,5 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9789401578400

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Decision Theory and Decision Behaviour by Anatol Rapoport Pdf

This book presents the content of a year's course in decision processes for third and fourth year students given at the University of Toronto. A principal theme of the book is the relationship between normative and descriptive decision theory. The distinction between the two approaches is not clear to everyone, yet it is of great importance. Normative decision theory addresses itself to the question of how people ought to make decisions in various types of situations, if they wish to be regarded (or to regard themselves) as 'rational'. Descriptive decision theory purports to describe how people actually make decisions in a variety of situations. Normative decision theory is much more formalized than descriptive theory. Especially in its advanced branches, normative theory makes use of mathematicallanguage, mode of discourse, and concepts. For this reason, the definitions of terms encountered in normative decision theory are precise, and its deductions are rigorous. Like the terms and assertions of other branches of mathematics, those of mathematically formalized decision theory need not refer to anything in the 'real', i. e. the observable, world. The terms and assertions can be interpreted in the context of models of real li fe situations, but the verisimilitude of the models is not important. They are meant to capture only the essentials of adecision situation, which in reallife may be obscured by complex details and ambiguities. It is these details and ambiguities, however, that may be crucial in determining the outcomes of the decisions.

Theory of Games and Statistical Decisions

Author : David A. Blackwell,M. A. Girshick
Publisher : Courier Corporation
Page : 388 pages
File Size : 51,6 Mb
Release : 2012-06-14
Category : Mathematics
ISBN : 9780486150895

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Theory of Games and Statistical Decisions by David A. Blackwell,M. A. Girshick Pdf

Evaluating statistical procedures through decision and game theory, as first proposed by Neyman and Pearson and extended by Wald, is the goal of this problem-oriented text in mathematical statistics. First-year graduate students in statistics and other students with a background in statistical theory and advanced calculus will find a rigorous, thorough presentation of statistical decision theory treated as a special case of game theory. The work of Borel, von Neumann, and Morgenstern in game theory, of prime importance to decision theory, is covered in its relevant aspects: reduction of games to normal forms, the minimax theorem, and the utility theorem. With this introduction, Blackwell and Professor Girshick look at: Values and Optimal Strategies in Games; General Structure of Statistical Games; Utility and Principles of Choice; Classes of Optimal Strategies; Fixed Sample-Size Games with Finite Ω and with Finite A; Sufficient Statistics and the Invariance Principle; Sequential Games; Bayes and Minimax Sequential Procedures; Estimation; and Comparison of Experiments. A few topics not directly applicable to statistics, such as perfect information theory, are also discussed. Prerequisites for full understanding of the procedures in this book include knowledge of elementary analysis, and some familiarity with matrices, determinants, and linear dependence. For purposes of formal development, only discrete distributions are used, though continuous distributions are employed as illustrations. The number and variety of problems presented will be welcomed by all students, computer experts, and others using statistics and game theory. This comprehensive and sophisticated introduction remains one of the strongest and most useful approaches to a field which today touches areas as diverse as gambling and particle physics.

Fundamentals of Decision Theory

Author : Thomas Lorie Saaty
Publisher : Unknown
Page : 0 pages
File Size : 51,7 Mb
Release : 1994
Category : Decision making
ISBN : 0962031763

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Fundamentals of Decision Theory by Thomas Lorie Saaty Pdf

Choices

Author : Michael D. Resnik
Publisher : U of Minnesota Press
Page : 244 pages
File Size : 47,7 Mb
Release : 1987
Category : Decision making
ISBN : 1452902283

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Choices by Michael D. Resnik Pdf