期刊文献+

随机截断数据Weibull型参数模型的估计方法

The Estimation Method for Weibull Parameter Model with Randomly Censored Data
下载PDF
导出
摘要 构建了数据随机截断情形下的Weibull型参数模型,分别利用经典方法和Bayesian方法对其参数进行了估计。 This paper involves the construction of Weibull parameter model with randomly censored data,and estimates its parameters using classical approach and Bayesian method respectively.
作者 李锐
出处 《丽水学院学报》 2010年第5期17-20,共4页 Journal of Lishui University
关键词 Weibull型参数模型 随机截断数据 估计方法 Weibull parameter model randomly censored data estimation method
  • 相关文献

参考文献8

二级参考文献19

  • 1王炳兴.Weibull分布基于定数逐次截尾寿命数据的统计分析[J].科技通报,2004,20(6):488-490. 被引量:12
  • 2王玲玲,王炳兴.无失效数据的统计分析—修正似然函数方法[J].数理统计与应用概率,1996,11(1):64-70. 被引量:57
  • 3Aggarwala R.Progressive censoring:A review[M].Eds. Balakrishnan N,Rao C R. Handbook of Statistics,Vol.20,New York:John Wiley,2001.373-429. 被引量:1
  • 4Mann N R. Best linear invariant estimation for Weibull parameters under progressive censoring[J]. Technometrics,1971,13:521-533. 被引量:1
  • 5Thomas D R, Wilson W M. Linear order statistic estimation for the two-parameter weibull and extreme-value distributions from type II progressively censored samples[J].Technometrics,1972,14:679-691. 被引量:1
  • 6Viveros R, Balakrishnan N. Interval estimation of parameters of life from progressively censored data[J]. Technometrics,1994,36:84-91. 被引量:1
  • 7Gibbons D I, Vance L C. Estimators for the 2-parameter Weibull distribution with progressively censored samples[J]. IEEE Trans Reliability,1983,32:95-99. 被引量:1
  • 8Balasooriya U, Saw S L C, Gadag V. Progressively censored reliability sampling plans for the Weibull distribution[J]. Technometrics,2000,42:160-167. 被引量:1
  • 9Balakrishnan N, Kannan N. Point and interval estimation for parameters of the Logistic distribution based on progressively Type-II censored samples[M].Eds. Balakrishnan N,Rao C R. Handbook of Statistics, Vol.20,New York:John Wiley,2001.431-456. 被引量:1
  • 10Lawless J F. Statistical models and methods for lifetime data[M].New York:John Wiley & Sons,1982. 被引量:1

共引文献73

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部