广义指数分布在TFR模型中的参数估计

广义指数分布是应用非常广泛的一种分布,近年对该分布的讨论主要是常规寿命试验数据的统计分析方法,研究重点是参数的点估计.但基于不完全样本、应用TFR模型、探讨广义指数分布在步加试验中的参数估计的文献却很少见.对此,利用EM算法给出了参数估计的显性表达式,并通过数据模拟说明了估计方法的可行性.

Parameter Estimation of Generalized Exponential Distribution in the TFR Model

Generalized exponential distribution is applied widely. In recent years, discussions with regard to this distribu-tion were mostly statistic analysis about the data in normal life test, and attention was especially paid to the point estima-tion. But few researches had been done to discuss parameter estimation of the distribution during the step-stress acceler-ated life tests based on incomplete specimen and TFR Model. The parameter concrete expressions was given by using EMalgorithm. And the estimation method was proved right by taking advantage of Monte Carlo stimulation.