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Volumn 19, Issue 2, 2003, Pages 171-181

Some flexible families of intensities for non-homogeneous poisson process models and their Bayes inference

Author keywords

Markov Chain Monte Carlo; Non homogeneous Poisson process; Power law process

Indexed keywords

FAILURE ANALYSIS; FUNCTIONS; MONTE CARLO METHODS; POISSON DISTRIBUTION; RELIABILITY THEORY;

EID: 0037357783     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.520     Document Type: Article
Times cited : (14)

References (13)
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    • Thompson, W.A.1
  • 3
    • 84937650085 scopus 로고
    • Learning curve approach to reliability monitoring
    • Duane JT. Learning curve approach to reliability monitoring. IEEE Transactions on Aerospace 1964; 2:563-566.
    • (1964) IEEE Transactions on Aerospace , vol.2 , pp. 563-566
    • Duane, J.T.1
  • 4
    • 0001782167 scopus 로고
    • Reliability analysis for complex, repairable systems
    • Proschan F, Serfling RF (eds.). Society of Industrial and Applied Mathematics: Philadelphia
    • Crow LJ. Reliability analysis for complex, repairable systems. Reliability and Biometry, Proschan F, Serfling RF (eds.). Society of Industrial and Applied Mathematics: Philadelphia, 1974; 379-410.
    • (1974) Reliability and Biometry , pp. 379-410
    • Crow, L.J.1
  • 5
    • 0019678207 scopus 로고
    • A quasi-Bayes estimate of the failure intensity of a reliability-growth model
    • Higgins JJ, Tsokos CP. A quasi-Bayes estimate of the failure intensity of a reliability-growth model. IEEE Transactions on Reliability 1981; 30:471-475.
    • (1981) IEEE Transactions on Reliability , vol.30 , pp. 471-475
    • Higgins, J.J.1    Tsokos, C.P.2
  • 6
    • 0012954789 scopus 로고
    • Bayesian inference for the Weibull process with application to assessing software reliability growth and predicting software failures
    • Billard L (ed.). Elsevier Science Publishers B.V./North-Holland
    • Kyparisis J, Singpurwalla ND. Bayesian inference for the Weibull process with application to assessing software reliability growth and predicting software failures. Computer Science and Statistics: The Interface, Billard L (ed.). Elsevier Science Publishers B.V./North-Holland, 1985; 57-64.
    • (1985) Computer Science and Statistics: The Interface , pp. 57-64
    • Kyparisis, J.1    Singpurwalla, N.D.2
  • 7
    • 0024946724 scopus 로고
    • Bayes inference for a non-homogeneous Poisson process with power intensity law
    • Guida M, Calabria R, Pulcini G. Bayes inference for a non-homogeneous Poisson process with power intensity law. IEEE Transactions on Reliability 1989; 38:603-609.
    • (1989) IEEE Transactions on Reliability , vol.38 , pp. 603-609
    • Guida, M.1    Calabria, R.2    Pulcini, G.3
  • 11
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    • A bounded intensity process for the reliability of repairable equipment
    • Pulcini G. A bounded intensity process for the reliability of repairable equipment. Journal of Quality Technology 2001; 33:480-492.
    • (2001) Journal of Quality Technology , vol.33 , pp. 480-492
    • Pulcini, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.