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Volumn 20, Issue 6, 2004, Pages 579-586

A note on weighted least-squares estimation of the shape parameter of the Weibull distribution

Author keywords

Monte Carlo simulation; Order statistics; Shape parameter; Weibull distribution; Weighted least squares estimator

Indexed keywords

BALL BEARINGS; COMPUTER SIMULATION; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS;

EID: 6444225172     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.570     Document Type: Article
Times cited : (34)

References (17)
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  • 4
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    • Estimation of Weibull parameters using a weight function
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  • 6
    • 0001433639 scopus 로고
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    • Sinha SK, Guttman I. Bayesian analysis of life-testing problems involving the Weibull distribution. Communications in Statistics-Theory and Methods 1988; 17(2):343-356.
    • (1988) Communications in Statistics-theory and Methods , vol.17 , Issue.2 , pp. 343-356
    • Sinha, S.K.1    Guttman, I.2
  • 8
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    • Maximum likelihood of Weibull parameters for two independent competing risks
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    • (1991) IEEE Transactions on Reliability , vol.40 , Issue.1 , pp. 71-74
    • Ishioka, T.1    Nonaka, Y.2
  • 12
    • 0032626062 scopus 로고    scopus 로고
    • An alternative rule for placement of empirical points on Weibull probability paper
    • Drapella A, Kosznik S. An alternative rule for placement of empirical points on Weibull probability paper. Quality and Reliability Engineering International 1999; 15:57-59.
    • (1999) Quality and Reliability Engineering International , vol.15 , pp. 57-59
    • Drapella, A.1    Kosznik, S.2
  • 13
    • 0035518709 scopus 로고    scopus 로고
    • Weight least-squares estimation of the sharp parameter of the Weibull distribution
    • Hung WL. Weight least-squares estimation of the sharp parameter of the Weibull distribution. Quality and Reliability Engineering International 2001; 17:467-469.
    • (2001) Quality and Reliability Engineering International , vol.17 , pp. 467-469
    • Hung, W.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.