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Volumn 52, Issue , 2014, Pages 1-4

A web-based tool for eliciting probability distributions from experts

Author keywords

Bayesian prior distribution; Expert judgement; Subjective probability; Web based elicitation

Indexed keywords

TOOLS; UNCERTAINTY ANALYSIS; VIDEO CONFERENCING; WEBSITES;

EID: 84887551125     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.10.010     Document Type: Article
Times cited : (139)

References (14)
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    • Aprogress report on the training of probability assessors
    • Cambridge University Press, Cambridge, UK, D. Kahneman, P. Slovic, A. Tversky (Eds.)
    • Alpert M., Raiffa H. Aprogress report on the training of probability assessors. Judgment Under Uncertainty: Heuristics and Biases 1982, 294-305. Cambridge University Press, Cambridge, UK. D. Kahneman, P. Slovic, A. Tversky (Eds.).
    • (1982) Judgment Under Uncertainty: Heuristics and Biases , pp. 294-305
    • Alpert, M.1    Raiffa, H.2
  • 4
    • 0006606933 scopus 로고
    • Biostatistics and the Medical Research Council
    • Gore S. Biostatistics and the Medical Research Council. Med. Res. Counc. News 1987, 35:19-20.
    • (1987) Med. Res. Counc. News , vol.35 , pp. 19-20
    • Gore, S.1
  • 10
    • 80755145073 scopus 로고    scopus 로고
    • Probabilistic uncertainty specification: overview, elaboration techniques and their application to a mechanistic model of carbon flux
    • O'Hagan A. Probabilistic uncertainty specification: overview, elaboration techniques and their application to a mechanistic model of carbon flux. Environ. Model. Softw. 2012, 36:35-48.
    • (2012) Environ. Model. Softw. , vol.36 , pp. 35-48
    • O'Hagan, A.1
  • 12
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria
    • R: a Language and Environment for Statistical Computing 2013, R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria.
    • (2013) R: a Language and Environment for Statistical Computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.