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Volumn , Issue , 2009, Pages 421-430

Combining imprecise Bayesian and maximum likelihood estimation for reliability growth models

Author keywords

Bayesian inference; Imprecise probabilities; Linear regression; Lower and upper probability distributions; Maximum likelihood estimation; Reliability growth models

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN METHODS; IMPRECISE PROBABILITIES; LOWER AND UPPER PROBABILITIES; MAXIMUM LIKELIHOOD METHODS; MODEL PARAMETERS; RELIABILITY GROWTH MODEL; STATISTICAL DATAS;

EID: 84883235969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 1
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    • Bernard, J.-M.1
  • 3
    • 0034227072 scopus 로고    scopus 로고
    • Towards a conceptual framework of software run reliability modeling
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    • (2000) Information Sciences , vol.126 , pp. 137-163
    • Cai, K.Y.1
  • 5
    • 0018505572 scopus 로고
    • Time dependent error detection rate model for software reliability and other performance measures
    • A.L. Goel and K. Okomoto. Time dependent error detection rate model for software reliability and other performance measures. IEEE Trans. Reliab., R-28:206-211, 1979.
    • (1979) IEEE Trans. Reliab , vol.R-28 , pp. 206-211
    • Goel, A.L.1    Okomoto, K.2
  • 6
    • 0002979446 scopus 로고
    • Software reliability research
    • In W. Greiberger, editor, Academic Press, New York
    • Z. Jelinski and P.B. Moranda. Software reliability research. In W. Greiberger, editor, Statistical Computer Performance Evaluation, pages 464- 484. Academic Press, New York, 1972.
    • (1972) Statistical, Computer Performance Evaluation , pp. 464-484
    • Jelinski, Z.1    Moranda, P.B.2
  • 8
    • 0015764839 scopus 로고
    • A bayesian reliability growth model for computer software
    • B. Littlewood and J. Verall. A Bayesian reliability growth model for computer software. Applied Statistics, 22:332-346, 1973.
    • (1973) Applied Statistics , vol.22 , pp. 332-346
    • Littlewood, B.1    Verall, J.2
  • 11
    • 85045326172 scopus 로고    scopus 로고
    • Imprecise probability models for inference in exponential families
    • In J.-M. Bernard, T. Seidenfeld, and M. Zaffalon, editors, Pittsburgh, Pennsylvania, July, Carnegie Mellon University
    • E. Quaeghebeur and G. de Cooman. Imprecise probability models for inference in exponential families. In J.-M. Bernard, T. Seidenfeld, and M. Zaffalon, editors, Proc. of the 4rd Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05, Pittsburgh, Pennsylvania, July 2005. Carnegie Mellon University.
    • (2005) Proc. of the 4rd Int. Symposium on Imprecise Probabilities and their Applications, ISIPTA'05
    • Quaeghebeur, E.1    Cooman, G.D.2
  • 14
    • 84902325828 scopus 로고    scopus 로고
    • Noninformative bayesian priors. Interpretation and problems with construction and applications
    • NTNU, Trondheim
    • A.R. Syversveen. Noninformative Bayesian priors. Interpretation and problems with construction and applications. Preprint Statistics 3, Department of Mathematical Sciences, NTNU, Trondheim, 1998.
    • (1998) Preprint Statistics 3, Department of Mathematical Sciences
    • Syversveen, A.R.1
  • 16
    • 0001907991 scopus 로고    scopus 로고
    • Inferences from multinomial data: Learning about a bag of marbles
    • with discussion
    • P. Walley. Inferences from multinomial data: Learning about a bag of marbles. Journal of the Royal Statistical Society, Series B, 58:3-57, 1996. with discussion.
    • (1996) Journal of the Royal Statistical Society, Series B , vol.58 , pp. 3-57
    • Walley, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.