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Volumn , Issue , 2009, Pages 209-218

A minimum distance estimator in an imprecise probability model - Computational aspects and applications

Author keywords

Coherent lower previsions; Empirical measure; Imprecise probabilities; Minimum distance estimator; R project for statistical computing

Indexed keywords

COHERENT LOWER PREVISIONS; EMPIRICAL MEASURE; IMPRECISE PROBABILITIES; MINIMUM DISTANCE ESTIMATORS; R PROJECT FOR STATISTICAL COMPUTING;

EID: 84883220502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (15)
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    • T. Augustin. Neyman-Pearson testing under interval probability by globally least favorable pairs - reviewing Huber-Strassen theory and extending it to general interval probability. Journal of Statistical Planning and Inference, 105:149-173, 2002.
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    • Augustin, T.1
  • 4
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    • Dunford, N.1    Schwartz, J.T.2
  • 5
    • 84862656911 scopus 로고    scopus 로고
    • Imprprobest: Minimum distance estimation in an imprecise probability model
    • Version 1.0, 2008-10-23; maintainer Hable, R
    • R. Hable. imprProbEst: Minimum distance estimation in an imprecise probability model, 2008. Contributed R-Package on CRAN, Version 1.0, 2008-10-23; maintainer Hable, R.
    • (2008) Contributed R-Package on CRAN
    • Hable, R.1
  • 6
    • 62749092800 scopus 로고    scopus 로고
    • PhD thesis, Ludwig- Maximilians-Universiẗat (LMU) Munich
    • R. Hable. Data-based decisions under complex uncertainty. PhD thesis, Ludwig- Maximilians-Universiẗat (LMU) Munich, 2009. http://edoc.ub.uni- muenchen.de/9874/.
    • (2009) Data-based Decisions under Complex Uncertainty
    • Hable, R.1
  • 7
    • 59849089699 scopus 로고    scopus 로고
    • Practical robust estimators for the imprecise dirichlet model
    • M. Hutter. Practical robust estimators for the imprecise Dirichlet model. International Journal of Approximate Reasoning, 50:231-242, 2009.
    • (2009) International Journal of Approximate Reasoning , vol.50 , pp. 231-242
    • Hutter, M.1
  • 10
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    • R Development Core Team. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0
    • R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2008. ISBN 3-900051-07-0.
    • (2008) R: A Language and Environment for Statistical Computing
  • 13
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    • Inferences from multinomial data: Learning about a bag of marbles
    • With discussion and a reply by the author
    • P. Walley. Inferences from multinomial data: learning about a bag of marbles. Journal of the Royal Statistical Society. Series B. Methodological, 58(1):3-57, 1996.With discussion and a reply by the author.
    • (1996) Journal of the Royal Statistical Society. Series B. Methodological , vol.58 , Issue.1 , pp. 3-57
    • Walley, P.1
  • 15
    • 0034190734 scopus 로고    scopus 로고
    • The theory of interval-probability as a unifying concept for uncertainty
    • K. Weichselberger. The theory of interval-probability as a unifying concept for uncertainty. International Journal of Approximate Reasoning, 24:149-170, 2000.
    • (2000) International Journal of Approximate Reasoning , vol.24 , pp. 149-170
    • Weichselberger, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.