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 |