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Statistical Decision Theory
Kendall's Library of Statistics 9
Simon French (Author), David Rios Insua (Author)
9780470711057, Wiley
Hardback, published 28 August 2000
318 pages
23.9 x 15.9 x 1.8 cm, 0.595 kg
Decision-theoretic ideas can structure the process of inference together with the decision-making that inference supports. Statistical decision theory is the sub-discipline of statistics which explores and develops this structure. Typically, discusion of decision theory within one discipline does not recognise that other disciplines may have considered the same or similar problems. This text, Volume 9 in the prestigious Kendall's Library of Statistics, provides an overview of the main ideas and concepts of statistical decision theory and sets it within the broader concept of decision theory, decision analysis and decision support as they are practised in many disciplines beyond statistics - including artificial intelligence, economics, operational research, philosophy and psychology.
Decision Theory: An Overview Axiomatic Bases of Decision Theory Problem Structuring, Parameters and Attributes Group Decisions and Expert Judgement Classical Statistical Decision Theory Bayesian Statistical Decision Theory Decision Theoretic Computations Sensitivity Analysis Sequential Statistical Decision Theory Conclusions
Subject Areas: Mathematics [PB]
