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Experts with over 100 years of experience resolving complex decision problems offer a proven, straightforward, and flexible roadmap for making better and more impactful decisions, and offer the tools to achieve your goals in every aspect of your life.
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Superb non-technical introduction to game theory, primarily applied to social sciences. Clear, comprehensive coverage of utility theory, 2-person zero-sum games, 2-person non-zero-sum games, n-person games, individual and group decision-making, more. Bibliography.
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Scientia nova veroffentlicht Originalarbeiten bahnbrechender Forscher oder allgemeinverstandliche Einfuhrungen in schwierige Spezialgebiete, die fur die Philosophie, Logik und Mathematik von ebenso groer Bedeutung sind, wie fur die Natur- und Sozialwissenschaften. Scientia nova i...st eine Bibliothek des modernen wissenschaftlichen Denkens, die dazu beitragt, die Zersplitterung der Forschung in Spezialgebiete zu uberwinden und einem neuen Denkstil zum Durchbruch zu verhelfen. Read more
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Optimal Statistical Decisions
This book provides a thorough discussion in the theory and methodology of optimal statistical decisions. The volume represents a landmark. It still remains the clearest introduction to Bayesian statistical decision theory even in, this, a paperback ...reprint of the original book dating back to 1970 (under the aegis of McGraw Hill, Inc.). While the content does not include the computational advances that have become so popular and well used today, neither does it neglect what purposes are served by those computations. DeGroot's book, with its clear exposition of Bayesian principles, is useful to keep those purposes in mind. Of particular note is the fact that Bayesian and sequential decision problems are explained from the bottom-up with great care and clarity.
Bayesian Inference in Statistical Analysis
Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.
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 Read more
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This text describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing tradeoffs between incommensurable objectives.
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This is an examination of the applications of Bayesian statistical theory to real-life business problems of decision under conditions of uncertainty.
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This volume presents contributions from specialists in different fields and provides a summary and synthesis of the different approaches to decision making - normative, descriptive, and prescriptive - which largely correspond to different disciplinary interests.
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Written by the author of The Art and Science of Negotiation , this title incorporates three strands of inquiry: individual decision analysis, judgmental decision making, and game theory.
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A study of the mechanics, practice, and application of negotiation explains the processes of negotiation and offers practical instruction in developing and improving negotiation skills.
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