摘要
利用逆估计法的思想,给出寿命分布为线性失效率模型时,定数截尾寿命试验数据缺失场合下样本分布参数的近似点估计.通过Monte-Carlo数值模拟表明,当样品容量固定时,随着数据的增大,精度愈高;当缺失数据数目太大时,参数估计误差偏大;而当缺失数据数目不太大时,参数估计的精度还是令人满意的.
By the idea of the inverse moment, we provide an approximate estimation for the parameter of the sample distribution under type- Ⅱ censoring when product life time follows linear failure rate model. By the Monte-Carlo simulation, when the sample capability is fixed, the precision is high with the number of the data is large, when the number of the data is small namely the number of the missing data is large, the error of the estimation for the parameter is biased big, the precision for the parameter estimation is successfully satisfied when the number of the missing data is not large.
出处
《华侨大学学报(自然科学版)》
CAS
北大核心
2009年第3期343-345,共3页
Journal of Huaqiao University(Natural Science)
基金
福建省自然科学基金资助项目(Z0511027)
关键词
线性失效率
定数截尾数据缺失
逆估计
标准指数分布
linear failure rate
multiply type-Ⅱ censoring
inverse moment
normal exponention distribution