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Statistical Decision Theory

decision theory is the sub-discipline of statistics which explores and develops this structure. Typically, discusion of decision theory within one;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Decision Synthesis

This book provides a synthesis of the theory of decision making and its practical application in decision analysis. Part 1 provides a;

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An Introduction to Decision Theory

This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the;

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Decision Theory Models for Applications in Artificial Intelligence

Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions provides an introduction to different types;

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Algorithmic Decision Theory

This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held;

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Decision Science and Queueing Theory

An introduction to decision science with an emphasis on queueing theory. Decision science methods are examined to determine an appropriate;

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Decision Science and Queueing Theory

An introduction to decision science with an emphasis on queueing theory. Decision science methods are examined to determine an appropriate;

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Cambridge Studies in Probability, Induction and Decision Theory

advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic;

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Cambridge Studies in Probability, Induction and Decision Theory

advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic;

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Statistical Decision Theory

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and;

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Cambridge Studies in Probability, Induction and Decision Theory

analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method;

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Cambridge Studies in Probability, Induction and Decision Theory

analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method;

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Cambridge Studies in Probability, Induction and Decision Theory

This book is a major contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The;

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Cambridge Studies in Probability, Induction and Decision Theory

This book is a major contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The;

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Betriebswirtschaftliche Entscheidungstheorie

Business decision theory is an important tool for structuring and resolving problems in decision-making. This book elucidates personal;

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Algorithmic Decision Theory

This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held;

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Behavioral Decision Theory

This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been;

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Decision Theory and Decision Behaviour

of Toronto. A principal theme of the book is the relationship between normative and descriptive decision theory. The distinction between the two;

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Marketing (RLE Marketing)

Drawing from the behavioural sciences, management theory, quantitative decision theory and marketing theory, this book presents a;

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Is 'Fuzzy Theory' an Appropriate Tool for Large Size Problems?

process :- Fact-1: A decision maker (intelligent agent) can never use or apply 'fuzzy theory' or any soft-computing set theory without;

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Adequate Decision Rules for Portfolio Choice Problems

The author presents the theory of portfolio choice from a new perspective, recommending decision rules that have advantages over those;

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Adequate Decision Rules for Portfolio Choice Problems

The author presents the theory of portfolio choice from a new perspective, recommending decision rules that have advantages over those;

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Collaborative Decision Making

include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to;

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Marketing: The Management Way

Drawing from the behavioural sciences, management theory, quantitative decision theory and marketing theory, this book presents a;

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A Theory of Case-Based Decisions

Gilboa and Schmeidler provide a paradigm for modelling decision making under uncertainty. Unlike the classical theory of expected utility;

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