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Game theory --- Statistical decision

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Provides a broad yet rigorous introduction to the fundamentals of decision theory (the collection of mathematical, logical, and philosophical theories of decision making by rational individuals) that pays particular attention to matters of philosophical and logical interest.

Decision making. --- Statistical decision. --- Decision making --- Statistical decision --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving

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Management --- Management science --- Mathematical models --- 519.8 --- -Management science --- 519.85 --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Administration --- Industrial relations --- Organization --- Operational research --- Mathematical programming --- 519.85 Mathematical programming --- 519.8 Operational research --- Management - Mathematical models

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Operational research. Game theory --- Statistical decision --- Fuzzy sets --- Expert systems (Computer science) --- 519.226 --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Fuzzy sets. --- Statistical decision. --- Expert systems (Computer science). --- 519.226 Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Systèmes experts (Informatique) --- Ensembles flous --- Prise de décision (Statistique) --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Artificial intelligence --- Computer systems --- Soft computing --- Sets, Fuzzy --- Fuzzy mathematics --- Set theory

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Because of the complexity of human behaviour a great many research variables must be constructed from the building blocks of human judgement. A teacher's warmth, a psychotherapist's ability to create rapport, a patient's inner state - these all tend ultimately to be defined by the judgements of others. The purpose of this book is to describe the design, the analysis and the meta-analysis of studies employing judgements in sufficient detail that readers can conduct such studies, and more wisely evaluate them. While the author's examples are drawn primarily from research on non-verbal behaviour, the book is designed for any investigators employing judges, observers, raters, coders, or decoders, whether or not the behaviour being assessed is non-verbal. Judgment Studies: Design, Analysis, and Meta-Analysis constitutes a unique resource for advanced students and researchers in the behavioural and social sciences. It offers the first integrated summary of methodological issues in judgement studies, and the first guide to their planning and analysis.

Affective and dynamic functions --- Health Sciences --- Psychiatry & Psychology --- Judgment --- Body language --- Experimental design. --- Meta-analysis. --- Research --- Methodology. --- Evaluation. --- Medicine --- Psychometrics --- Social sciences --- Design of experiments --- Statistical design --- Mathematical optimization --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Kinesics --- Nonverbal communication (Psychology) --- Interpersonal communication --- Nonverbal communication --- Judgement --- Knowledge, Theory of --- Language and languages --- Psychology --- Thought and thinking --- Wisdom --- Evaluation --- Statistical methods --- Experiments --- Methodology