One employs the mathematical analysis of decision making when the state of nature is uncertain but further information about it can be obtained by experimentation. Bayesian Decision Theory concerns practical problems of decision making under conditions of uncertainty and also requires the use of statistical and mathematical methods.In this thesis, some basic risk sharing and group decision concepts are provided. Risk is the expected value of the Loss Function of Bayesian Estimators. Group decisions consider situations in which the individuals need to agree both on utilities for consequences and on conditional probability assessments for different experimental outcomes. / Department of Mathematical Sciences
| Identifer | oai:union.ndltd.org:BSU/oai:cardinalscholar.bsu.edu:handle/184501 |
| Date | January 1992 |
| Creators | Yen, Peng-Fang |
| Contributors | Ball State University. Dept. of Mathematical Sciences., Umbach, Dale E. |
| Source Sets | Ball State University |
| Detected Language | English |
| Format | iii, 34 leaves ; 28 cm. |
| Source | Virtual Press |
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