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Elicitation of subjective probabilities for economic risk analysis: an investigation

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dc.contributor.author Ranasinghe, M.
dc.contributor.author Russell, AD
dc.date.accessioned 2023-02-06T06:21:44Z
dc.date.available 2023-02-06T06:21:44Z
dc.date.issued 1993
dc.identifier.citation Ranasinghe, M., & Russell, A. D. (1993). Elicitation of subjective probabilities for economic risk analysis: An investigation. Construction Management and Economics, 11(5), 326–340. https://doi.org/10.1080/01446199300000037 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20377
dc.description.abstract This paper investigates three major issues regarding the elicitation of expert knowledge for economic risk analysis: (1) recognition of some of the implicit assumptions and beliefs; (2) development of an approach to elicit expert knowledge as accurate, calibrated and coherent subjective probabilities; and (3)a study to explore human ability to predict future events and the validity of the implicit assumptions and beliefs in the context of the expert judgements. The proposed elicitation approach combines the theoretical requirements for valid subjective probabilities with a practical process. The recognition that some of the implicit assumptions and beliefs in engineering risk analysis should be explored when dealing with the human ability to predict future events, and the inherent difficulties in developing experiments and methods to test such beliefs arc some of the benefits of the study. Directions for future work are suggested. en_US
dc.language.iso en_US en_US
dc.publisher Taylor and Francis en_US
dc.subject Subjective probabilities en_US
dc.subject economic risk analysis en_US
dc.subject elicitation technique en_US
dc.subject questionnaire en_US
dc.subject decomposition en_US
dc.title Elicitation of subjective probabilities for economic risk analysis: an investigation en_US
dc.type Article-Full-text en_US
dc.identifier.year 1993 en_US
dc.identifier.journal Construction Management and Economics en_US
dc.identifier.issue 5 en_US
dc.identifier.volume 11 en_US
dc.identifier.database Taylor & Francis Online en_US
dc.identifier.pgnos 326-340 en_US
dc.identifier.doi https://doi.org/10.1080/01446199300000037 en_US


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