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对数正态分布场合有非常数尺度参数恒加试验的参数估计 被引量:2

New estimators of lognormal distribution based on constant stress accelerated life tests data with nonconstant scale parameter
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摘要 讨论了对数正态分布场合有非常数尺度参数恒加寿命试验的参数估计 。 This paper discusses the parameter estimation of the constant stress accelerated life tests under the lognormal distribution with nonconstant scale parameter.New point estimators and approximate confidence interval are derived.The simulation results show that the new estimators and approximate confildence interval are effective.$$$$
作者 王炳兴
出处 《高校应用数学学报(A辑)》 CSCD 北大核心 2003年第2期200-206,共7页 Applied Mathematics A Journal of Chinese Universities(Ser.A)
基金 浙江省教育厅资助课题
关键词 恒加试验 对数正态分布 全样本 定数截尾样本 点估计 区间估计 constant stress accelerated life test lognormal distribution complete sample censored sample point estimation interval estimation
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参考文献4

  • 1张志华.对数正态分布定时截尾样本下加速寿命试验的统计分析[J].应用数学学报,2000,23(4):488-496. 被引量:11
  • 2Lawless J F. Statistical Models and Methods for Lifetime Data [M]. New York: John Wiley & Sons, 1982.
  • 3Meeter C A,Meeker W Q. Optimum accelerated life tests with a nonconstant scale parameter[J].Technometrics, 1994 : 36(1 ), 71-83.
  • 4Wang W,Kececioglu D B. Fitting the Weibull log-linear model to accelerated life-test data [J].IEEE Trans. Reliability,2000,49(2) :217-223.

二级参考文献3

共引文献10

同被引文献7

  • 1Meeter C A,Meeker W Q.Optimum accelerated life tests with a nonconstant scale parameter[J].Technometrics,1994:36(1):71-83.
  • 2Wang W,Kececioglu D B.Fitting the weibull log-linear model to accelerated life-test data[J].IEEE Trans.Reliability,2000,49(2):217-223.
  • 3Lawless J F. Statistical Models and Methods for Lifetime Data[J]. New York: John Wiley & Sons, 1982.
  • 4戴树生,费鹤良,王玲玲,等.可靠性实验及其统计分析[M].北京:国防工业出版社,1983.
  • 5Meeter C A, Meeker M Q. Optimum Accelerated Life Tests with a Inconstant Scale Parameter[J]. Technometrics, 1994, 36(1): 71--83.
  • 6Wang W, Keceeioglu D B. Fitting the Weibull Log-linear Model to Accelerated Life-test Data[J]. IEEE Trans. Reliability, 2000, 49(2): 217--223.
  • 7张志华.对数正态分布定时截尾样本下加速寿命试验的统计分析[J].应用数学学报,2000,23(4):488-496. 被引量:11

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