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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

Decision-theoretic ideas can structure the process of inference together with the decision-making that inference supports. Statistical;

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Statistical Quality Control Methods

This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are;

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Statistical Quality Control Methods

This book focuses on statistical methods useful in quality control, emphasizing on data-analysis and decision-making. These techniques are;

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Statistical Methods in Radiation Physics

inherent in health physics measurements and decision making. The authors begin with a description of our current understanding of the statistical;

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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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Cure Models

from statistical analysis to decision-marking and inference in cancer research Self-contained as sufficient the technical details and;

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Cure Models

from statistical analysis to decision-marking and inference in cancer research Self-contained as sufficient the technical details and;

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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 Thinking

How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking;

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Introduction to Statistical Pattern Recognition

in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study;

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Business Statistics

The primary objective of this text is to help students think clearly and critically and apply the business statistics in decision making to;

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Data, Statistics, and Decision Models with Excel

This text takes an integrated approach, and places emphasis on modeling and the application of pure methods rather than statistical;

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Improving Statistical Reasoning

traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making;

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BI Statistical Methods: Volume I

, density estimation, and statistical decision problems. They also enable a unified treatment of robustness. The book should be of great;

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What Every Engineer Should Know About Decision Making Under Uncertainty

statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author;

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Statistical Testing Strategies in the Health Sciences

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from;

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Statistical Testing Strategies in the Health Sciences

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from;

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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 Theory

Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction;

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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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Modeling in Medical Decision Making

amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making;

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Statistical Tools for Environmental Quality Measurement

When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By;

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Constrained Statistical Inference

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from;

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Managerial Economics

in a user-friendly way A mathematical and statistical point of view that reveals the presence of uncertainty inherent in managerial decisions;

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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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