张 莉 . 广义指数分布在恒加试验中的参数估计[J]. 内江师范学院学报, 2013, (12): 4-7.
    引用本文: 张 莉 . 广义指数分布在恒加试验中的参数估计[J]. 内江师范学院学报, 2013, (12): 4-7.
    ZHANG Li. Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution in the Constant-stress Accelerated Life Tests[J]. Journal of Neijiang Normal University, 2013, (12): 4-7.
    Citation: ZHANG Li. Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution in the Constant-stress Accelerated Life Tests[J]. Journal of Neijiang Normal University, 2013, (12): 4-7.

    广义指数分布在恒加试验中的参数估计

    Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution Parameter Estimation of Generalized Exponential Distribution in the Constant-stress Accelerated Life Tests

    • 摘要: 针对分组数据情形,研究其参数估计的文献甚是少见.鉴于如此,这篇文章探讨了广义指数分布在恒加试验中,基于分组数据的参数估计问题,并利用EM算法给出了参数估计的显性表达式,最后通过Monte Carlo模拟说明了估计方法的有效性和可行性

       

      Abstract: Generalized exponential distribution is one kind of commonly used distribution which finds wide applications in reliable field. In recent years, the researches focus mainly on the methods of statistical analysis for treating common life test data. Literature for studying parameter estimation involving grouped data is rarely seen. In view of this, an exploration is made into the parameter estimation problem of generalized exponential distribution in the constant-stress accelerated life tests which are based on grouped data. Then, the two-parameter concrete expressions were given by use of EM algorithm. At last, the Monte Carlo stimulation proves the efficacy and feasibility of the estimation method

       

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