定时截尾缺失数据下指数分布的参数AMLE

Amle for the Parameter of Exponential Distribution under Multiply Type-I Censoring

试验数据缺失是产品寿命试验中经常遇到的情况,处理起来比较复杂.当寿命分布为指数分布时,给出寻求定时截尾寿命试验数据缺失场合下,样本分布参数的近似极大似然估计.通过大量的Monte-Carlo数值模拟试验,证实所给方法的可行性.

Compared to type-Ⅰ censoring, multiply type-Ⅰ censoring is more general, yet mathematical and numerically complicated when product life time follows exponential distribution. This article provides an approximate maximum likelihood estimation for the parameter of the exponential distribution under multiply type-Ⅰ censoring. By the Mante-Carlo simulation, the feasibility of this method is proved.