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Volumn 30, Issue 4, 2003, Pages 325-328

Comparing Bayes's Theorem to Frequency-Based Approaches to Teaching Bayesian Reasoning

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EID: 0345149455     PISSN: 00986283     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (23)

References (7)
  • 2
    • 0042123195 scopus 로고    scopus 로고
    • Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty
    • Cosmides, L., & Tooby, J. (1996). Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition, 58, 1-73.
    • (1996) Cognition , vol.58 , pp. 1-73
    • Cosmides, L.1    Tooby, J.2
  • 4
    • 0002542465 scopus 로고
    • Probabilistic reasoning in clinical medicine: Problems and opportunities
    • D. Kahneman, P. Slovic, & A. Tversky (Eds.). New York: Cambridge University Press
    • Eddy, D. M. (1982). Probabilistic reasoning in clinical medicine: Problems and opportunities. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 249-267). New York: Cambridge University Press.
    • (1982) Judgment under Uncertainty: Heuristics and Biases , pp. 249-267
    • Eddy, D.M.1
  • 5
    • 11944267218 scopus 로고
    • How to improve Bayesian reasoning without instruction: Frequency formats
    • Gigerenzer, G., & Hoffrage, U. (1995). How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review, 102, 684-704.
    • (1995) Psychological Review , vol.102 , pp. 684-704
    • Gigerenzer, G.1    Hoffrage, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.