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• W1986248611 abstract "In many decision situations information is available from a number of different sources. Aggregating the diverse bits of information is an important aspect of the decision-making process but entails special statistical modeling problems in characterizing the information. Prior research in this area has relied primarily on the use of historical data as a basis for modeling the information sources. We develop a Bayesian framework that a decision maker can use to encode subjective knowledge about the information sources in order to aggregate point estimates of an unknown quantity of interest. This framework features a highly flexible environment for modeling the probabilistic nature and interrelationships of the information sources and requires straightforward and intuitive subjective judgments using proven decision-analysis assessment techniques. Analysis of the constructed model produces a posterior distribution for the quantity of interest. An example based on health risks due to ozone exposure demonstrates the technique." @default.
• W1986248611 created "2016-06-24" @default.
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• W1986248611 creator A5087178739 @default.
• W1986248611 date "1993-04-01" @default.
• W1986248611 modified "2023-10-14" @default.
• W1986248611 title "Aggregating Point Estimates: A Flexible Modeling Approach" @default.
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• W1986248611 doi "https://doi.org/10.1287/mnsc.39.4.501" @default.
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