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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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Statistical Decision Theory

Kendall's Library of Statistics, provides an overview of the main ideas and concepts of statistical decision theory and sets it within the broader;

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Statistical Decision Problems

Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a;

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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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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;

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Information, Inference and Decision

allied to the former Saarbriicken school of statistical decision theory. In the first part I make an attempt to outline an objective theory;

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Decision Theory

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set;

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Theory of Statistical Inference

formal theory of statistical inference. Beginning with decision theory, this section then covers uniformly minimum variance unbiased (UMVU;

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BI Statistical Methods: Volume I

statistical methods are important, including econometrics, decision theory, inductive logic, philosophy of science, psychology, and clinical trials;

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Probability and Statistical Inference: Volume 1

many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed;

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Decision-making

statistical decision theory. The reader will find here an integrated picture of concepts, methods and analytics to aid decision-making in a wide array;

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Decision-making

statistical decision theory. The reader will find here an integrated picture of concepts, methods and analytics to aid decision-making in a wide array;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Statistical Theory

Statistical Decision Theory; and other updates throughout No requirement for heavy calculus, and simple questions throughout the text help students;

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Extreme Value Theory-based Methods for Visual Recognition

notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition;

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An Introduction to Statistical Communication Theory

topics involving information transfer. Using the statistical Bayesian viewpoint, renowned author David Middleton employs statistical decision;

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The Theory and Practice of Econometrics

. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous;

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Robustness

The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to;

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Robustness

The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to;

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Improving Statistical Reasoning

improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are;

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Statistical Inference

statistical inference and statistical decision theory is explained with plenty of illustrations that help students obtain the necessary results from;

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Case-based Predictions

axiomatic decision theory, and, in particular, the authors' case-based decision theory, the present studies attempt to ask what inductive;

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Statistical Decision Theory and Bayesian Analysis

as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes;

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An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint;

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Mathematical Statistics

fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased;

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Bayesian Theory

particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the;

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