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Decisions under uncertainty with research applications /
Decision theory is the science of making optimal decisions in the face of uncertainty. Statistical decision theory is concerned with the making of decisions when in the presence of statistical knowledge (data) which sheds light on some of the uncertainties involved in the decision problem. The gener...
|a Decisions under uncertainty with research applications /
|c by Albert N. Haltr and Gerald W. Dean.
260
|a Cincinnati :
|b South-Western Pub.,
|c 1971
300
|a vi, 266 p. :
|b il.
504
|a Incluye referencias bibliográficas.
505
0
|a Introduction -- Some concepts of probability theory -- Decisions involving expected values (utility measurement) -- Three classes of decision problems -- Bayesian decision making -- Introduction to empirical applications -- Applications in agriculture I -- Applications in agriculture II -- Applications in geology -- Applications in forest management -- Applications in climatology -- Guidelines for application of decision-making framework
520
3
|a Decision theory is the science of making optimal decisions in the face of uncertainty. Statistical decision theory is concerned with the making of decisions when in the presence of statistical knowledge (data) which sheds light on some of the uncertainties involved in the decision problem. The generality of these definitions is such that decision theory (dropping the qualifier ‘statistical’ for convenience) formally encompasses an enormous range of problems and disciplines. Any attempt at a general review of decision theory is thus doomed; all that can be done is to present a description of some of the underlying ideas.
