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Volumn 45, Issue 3, 1997, Pages 347-354

Level crossing problems and drift reliability

Author keywords

Diffusion Process; First Exit Time Distribution; Lifetime Distribution; Maximum Likelihood Estimation

Indexed keywords

ESTIMATION; FAILURE ANALYSIS; MATHEMATICAL MODELS; RANDOM PROCESSES;

EID: 0030659279     PISSN: 14322994     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01194784     Document Type: Article
Times cited : (22)

References (9)
  • 2
    • 0026818056 scopus 로고
    • Models for variable-stress accelerated life testing experiments based on Wiener processes and the Inverse Gaussian distribution
    • Doksum KA, Hoyland A (1992) Models for variable-stress accelerated life testing experiments based on Wiener processes and the Inverse Gaussian distribution. Technometrics 34, 1:74-82
    • (1992) Technometrics , vol.34 , Issue.1 , pp. 74-82
    • Doksum, K.A.1    Hoyland, A.2
  • 4
    • 0030560299 scopus 로고    scopus 로고
    • First passage time distribution of a Wiener process with drift concerning two elastic barriers
    • Dominé (1996) First passage time distribution of a Wiener process with drift concerning two elastic barriers. Journal of Applied Probability 33:164-175
    • (1996) Journal of Applied Probability , vol.33 , pp. 164-175
    • Dominé1
  • 5
    • 21844508268 scopus 로고
    • Moments of the first passage time of a Wiener process with drift between two elastic barriers
    • Dominé (1995) Moments of the first passage time of a Wiener process with drift between two elastic barriers. Journal of Applied Probability 32:1007-1013
    • (1995) Journal of Applied Probability , vol.32 , pp. 1007-1013
    • Dominé1
  • 6
    • 0001254093 scopus 로고
    • The parabolic differential equations and the associated semi-groups of transformations
    • Feller W (1952) The parabolic differential equations and the associated semi-groups of transformations. Annals of Mathematics 55:468-519
    • (1952) Annals of Mathematics , vol.55 , pp. 468-519
    • Feller, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.