Statistical inference for a step-stress partially-accelerated life test model with an adaptive Type-I progressively hybrid censored data from Weibull distribution
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  • 作者:Ali A. Ismail
  • 关键词:Quality and reliability ; Step ; stress partially accelerated life test ; Weibull distribution ; Adaptive Type ; I progressively hybrid censoring scheme ; Coverage probability ; Optimum test plans
  • 刊名:Statistical Papers
  • 出版年:2016
  • 出版时间:April 2016
  • 年:2016
  • 卷:57
  • 期:2
  • 页码:271-301
  • 全文大小:494 KB
  • 参考文献:Abdel-Ghaly AA, El-Khodary EH, Ismail AA (2002) Maximum likelihood estimation and optimal design in step partially accelerated life tests for the Pareto distribution with type-I censoring. Proceedings of the 14th annual conference on Statistics and Computer Modeling in Human and Social Sciences, Faculty of Economics and Political Science, Cairo University, Egypt, 26–27 March: 27–40
    Abdel-Ghaly AA, El-Khodary EH, Ismail AA (2003) Estimation and optimal design in step partially accelerated life tests for Pareto distribution using Type-II censoring. Proceedings of the 15th annual conference on statistics and computer modeling in human and social sciences, Faculty of Economics and Political Science, Cairo University, Egypt, 25–26 March: 16–29
    Abdel-Ghaly AA, El-Khodary EH, Ismail AA (2003) Estimation and optimum constant-stress partially accelerated life test plans for Pareto distribution with Type-I censoring. Proceedings of the 38th annual conference of statistics, computer sciences and operation research, ISSR, Cairo University, Egypt, 13–16 December: 49–65
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  • 作者单位:Ali A. Ismail (1) (2)

    1. Department of Statistics and Operations Research, College of Science, King Saud University, P. O. Box 2455, Riyadh, 11451, Saudi Arabia
    2. Department of Statistics, Faculty of Economics & Political Science, Cairo University, Orman, Giza, 12613, Egypt
  • 刊物类别:Mathematics and Statistics
  • 刊物主题:Statistics
    Statistics for Business, Economics, Mathematical Finance and Insurance
    Probability Theory and Stochastic Processes
    Economic Theory
    Operation Research and Decision Theory
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1613-9798
文摘
In this paper, a new censoring scheme, namely, adaptive Type-I progressively hybrid censoring scheme under a step-stress partially accelerated test model is introduced. It has some advantages over the progressively hybrid censoring schemes already discussed in the literature. Based on this censoring scheme, the maximum likelihood estimations of Weibull distribution parameters and the acceleration factor are considered. The biases and mean squared errors of the maximum likelihood estimators of the model parameters are computed to evaluate their performances in the presence of censoring scheme developed in this paper through a Monte Carlo simulation study. The results obtained under the adaptive Type-I progressively hybrid censoring scheme are compared with those produced under the non-adaptive Type-I progressively hybrid censoring scheme using three different progressive censoring schemes. Moreover, the confidence intervals lengths and their associated coverage probabilities are obtained for both adaptive and non-adaptive Type-I progressively hybrid censoring scheme. In addition, Optimum test plans are also developed to improve/guarantee the quality of the statistical inference.

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