Statistical Decision Theory
Kendall's Library of Statistics 9
August 2000
318 Seiten, Hardcover
Wiley & Sons Ltd
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.
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