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Statistical decision

Most popular at the top

  • Decision Spaceby Paul Weirich; Brian Skyrms; Ernest W. Adams; Ken Binmore; Jeremy Butterfield; Persi Diaconis; William L. Harper

    Cambridge University Press 2001; US$ 50.00

    In Decision Space: Multidimensional Utility Analysis, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method, multidimensional utility analysis is a valuable new tool in decision theory. more...

  • Optimal Statistical Decisionsby Morris H. DeGroot

    John Wiley & Sons, Inc. 2005; US$ 133.00

    The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. more...

  • Info-Gap Decision Theoryby Yakov Ben-Haim

    Elsevier 2006; US$ 165.00

    Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. This book is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management... more...

  • Advances in Decision Making Under Risk and Uncertaintyby Mohammed Abdellaoui; John D. Hey

    Springer 2008; US$ 139.00

    Brings the reader into contact with the accomplished progress in individual decision making through the contributions to uncertainty modeling and behavioral decision making. This work also introduces the reader to the subtle issues to be resolved for rational choice under uncertainty. more...

  • Naive Decision Makingby T. W. Körner

    Cambridge University Press 2008; US$ 35.00

    Takes readers on an enjoyable journey through many aspects of mathematical decision making; the only prerequisite is elementary calculus. more...

  • Nonbayesian Decision Theoryby Martin Peterson

    Springer 2008; US$ 139.00

    This book aims to present an account of rational choice from a non-Bayesian point of view. Rational agents maximize subjective expected utility, but contrary to what is claimed by Bayesians, the author argues that utility and subjective probability should not be defined in terms of preferences over uncertain prospects. To some extent, the authora (TM)s non-Bayesian view gives a modern account of what decision theory could have been like, had decision theorists not entered the Bayesian path discovered by Ramsey, Savage, and Jeffrey. The author argues that traditional Bayesian decision theory is unavailing from an action-guiding perspective. For the deliberating Bayesian agent, the output of decision theory is not a set of preferences over alternative... more...

  • Statistical Decision Theoryby Friedrich Liese; Klaus-J. Miescke

    Springer 2008; US$ 99.00

    Suitable for advanced graduate students and researchers in mathematical statistics and decision theory, this title presents an account of the concepts and a treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. more...

  • Decision Theoryby Giovanni Parmigiani; Lurdes Inoue

    John Wiley & Sons, Ltd. 2009; US$ 100.00

    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.... more...

  • Decision Systems and Nonstochastic Randomnessby V. I. Ivanenko

    Springer 2010; US$ 99.00

    Presents the mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the description of uncertain mass events that do not fit standard stochastic models. more...

  • Modèles probabilistes d'aide à la décisionby Michel Nedzela

    Presses de l''niversite du Quebec 1987; US$ 39.75

    Notions fondamentales de la théorie des probabilités - Probabilité conditionnelle et espérance conditionnelle - La théorie de la décision - La gestion des stocks - Chaînes de Markov - Distribution stationnaire d'une chaîne de Markov - Processus de décision markoviens - Loi exponentielle et processus de Poisson - Processus de renouvellement - Files d'attente - Temps d'arrêt optimal sur une chaîne de Markov - La simulation. more...