Mathematics
Decision Theory


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Introduction to Bayesian Statistics
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Introduction to Bayesian Statistics
by William M. Bolstad

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Praise for the First Edition I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics. -Statistics in Medical Research This book] is written in a lucid...
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Decisions Under Uncertainty: Probabilistic Analysis for Engineering Decisions
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Decisions Under Uncertainty: Probabilistic Analysis for Engineering Decisions
by Ian J Jordaan

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Risk assessment theory and practice for graduate engineering students, practising engineers, designers and project managers....
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Advances in Mechanics and Mathematics #14: Markov Decision Processes with Their Applications
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Advances in Mechanics and Mathematics #14: Markov Decision Processes with Their Applications
by Qiying Hu

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Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are...
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Probabilistic Methods for Financial and Marketing Informatics
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Probabilistic Methods for Financial and Marketing Informatics
by Richard E. Neapolitan

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Bayesian Networks are a form of probabilistic graphical models and they are used for modeling knowledge in many application areas, from medicine to image processing. They are particularly useful for business applications, ans * Unique coverage of...
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Multiobjective Decision Making: Theory and Methodology
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Multiobjective Decision Making: Theory and Methodology
by Vira Chankong

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This first-rate text concerns the theory and methodology of systems engineering as they relate to the evaluation of alternative courses of action and associated decision making. Topics include psychological value measurements, classical decision analysis,...
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Uncertainty Analysis with High Dimensional Dependence Modelling (Wiley Series in Probability and Statistics)
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Uncertainty Analysis with High Dimensional Dependence Modelling (Wiley Series in Probability and Statistics)
by Dorota Kurowicka

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Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall...
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Advances in Decision Analysis
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Advances in Decision Analysis
by Nadine Meskens

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This book provides a select collection of papers written by experts on multiple criteria decision aid and presented at the International Conference on Methods and Applications of Multiple Criteria Decision Making (May 1997, Mons, Belgium). It covers...
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Wiley Series in Probability and Statistics #647: The Construction of Optimal Stated Choice Experiments: Theory and Methods
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Wiley Series in Probability and Statistics #647: The Construction of Optimal Stated Choice Experiments: Theory and Methods
by Deborah J Street

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The principal aim of the book is to make accessible the construction methods for the best possible designs to use to model human decision making in many fields from marketing to medicine....
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Decision Theory & Multi Agent Planning
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Decision Theory & Multi Agent Planning
by Giacom Della Riccia

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The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user...
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Elementary Decision Theory
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Elementary Decision Theory
by Herman Chernoff

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This well-respected introduction to statistics and statistical theory covers data processing, probability and random variables, utility and descriptive statistics, computation of Bayes strategies, models, testing hypotheses and much more. Clearly written,...
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Decision Making & Programming
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Decision Making & Programming
by V V Kolbin

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The problem of selection of alternatives or the problem of decision making in the modern world has become the most important class of problems constantly faced by business people, researchers, doctors and engineers. The fields that are almost entirely...
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Decision Analysis for Management Judgement
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Decision Analysis for Management Judgement
by Paul Goodwin

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In an increasingly complex world, decision analysis can play a major role in helping decision makers to gain a greater understanding of the problems they face; particularly as research has shown that the decision-making process can often go wrong. This...
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Wiley Series in Probability and Statistics #635: Bayes Linear Statistics: Theory & Methods
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Wiley Series in Probability and Statistics #635: Bayes Linear Statistics: Theory & Methods
by Michael Goldstein

Synopsis
Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for...
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Interactive Decision Making: The Graph Model for Conflict Resolution
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Interactive Decision Making: The Graph Model for Conflict Resolution
by Liping Fang

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A comprehensive procedure for systematically examining actual disputes. Clearly explains the theory and practice of this novel approach to conflict modeling, analysis and resolution. Based upon ideas from both graph and game theories, it extends the...
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International Series in Operations Research & Management Sci #85: Soft Computing for Complex Multiple Criteria Decision Making
by Ignacy Kaliszewski

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There are numerous books on Multiple Criteria Decision Making. Soft Computing for Complex Multiple Criteria Decision Making concentrates on providing technical (meaning formal, mathematical, algorithmical) tools to make the user of Multiple Criteria...
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Statistics and Decisions
by Steven Kim

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This systematic introduction to decision theory also acquaints the reader with the basic concepts and theories of probability and statistics. Assuming only an understanding of calculus, the book can be used as a textbook, or a self-study guide, and is...
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Applied Optimization #89: Interactive Decision Maps: Approximation and Visualization of Pareto Frontier
by Aleksandr Vla Lotov

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Since the volume may be of interest to a broad variety of people, it is arranged in parts that require different levels of mathematical background. Part I is written in a simple form and can be assessed by any computer-literate person interested in the...
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Graphical Belief Modeling
by Russell G. Almond

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This innovative volume explores graphical models using belief functions as a representation of uncertainty, offering an alternative approach to problems where probability proves inadequate. Graphical Belief Modeling makes it easy to compare the two...
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The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
by Christian P. Robert

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Winner of the 2004 DeGroot Prize The DeGroot Prize is awarded every two years by the International Society for Bayesian Analysis in recognition of an important, timely, thorough and notably original contribution to the statistics literature.This graduate-...
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Foundations of Decision Support Systems
by Robert Bonczek



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