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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.
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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.
See all Editorial Reviews
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.
From the Back Cover
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.
See all Editorial Reviews
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- E-Government: Towards Electronic Democracy: International Conference, TCGOV 2005, Bolzano, Italy, March 2-4, 2005, Proceedings (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence) by Michael Böhlen on page 234, and page 276
- The Advanced Theory of Statistics, Vol. 2B: Bayesian Inference by Harvey J. Gold in Front Matter, and Back Matter
- Kendall's Advanced Theory of Statistics, Volume 1: Distribution Theory by Alan Stuart in Front Matter
- Advanced Reliability Modeling II: Reliability Testing and Improvement: Proceedings of the 2nd Asian International Workshop (Aiwarm 2006) Busan, Korea, 24-26 August 2006 (No. 2) by Won Young Yun on page 642
- An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics) by Jayanta K. Ghosh in Back Matter
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