摘要
Frechet分布是一种重要的寿命分布,对于混合删失样本下,考虑Frechet分布参数的极大似然估计,并运用牛顿迭代法求出模型中参数的极大似然估计值,随机模拟显示所提出的估计方法表现良好。
Frechet distribution is an important life distribution. For hybrid censored samples, the maximum likelihood estimation of Frechet distribution is considered, and the maximum likelihood estimator in the model is obtained by Newton iteration method. Random simulation shows that the proposed estimation method performs well.
作者
祁辉
廖逢钗
李淑婷
唐必成
QI Hui;LIAO Feng-chai;LI Shu-ting;TANG Bi-cheng(School of Information Engineering, Sanming University, Sanming 365004, China;Digital Fujian Research Institute for Industrial Energy Big Data, Sanming University, Sanming 365004,China;Fujian Province University Key Lab for Industry Big Data Analysis and Application, Sanming 365004,China;IOT Application Engineering Research Center of Fujian Province Colleges and Universities, Sanming 365004,China)
出处
《三明学院学报》
2019年第2期14-19,共6页
Journal of Sanming University
基金
福建省科技厅引导性项目(2015H0035)
福建省自然科学基金项目(2019J01821)
福建省教育厅项目(JK2014046
JA15468)
三明学院科研基金项目(B201402/Q)
关键词
Frechet分布
混合删失
极大似然估计
牛顿迭代
frechet distribution
hybrid censoring
maximum likelihood estimation
newton iI teration
