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部分区间删失数据下广义指数分布的参数估计及应用
引用本文:董小刚,彭小草,蒋京京,王纯杰.部分区间删失数据下广义指数分布的参数估计及应用[J].吉林大学学报(理学版),2022,60(3):557-567.
作者姓名:董小刚  彭小草  蒋京京  王纯杰
作者单位:长春工业大学 数学与统计学院, 长春 130012
摘    要:考虑部分区间删失数据, 当时间变量服从广义指数分布时, 在尺度参数是否受协变量影响下建立两种模型, 再对模型参数进行极大似然估计, 并用Newton-Raphson算法求解参数估计值. 模拟实验和实例分析结果验证了模型的有效性.

关 键 词:部分区间删失数据    广义指数分布    极大似然估计    Newton-Raphson算法    尺度参数回归  
收稿时间:2021-07-29

Parameter Estimation and Application of Generalized Exponential Distribution under Partly Interval Censored Data
DONG Xiaogang,PENG Xiaocao,JIANG Jingjing,WANG Chunjie.Parameter Estimation and Application of Generalized Exponential Distribution under Partly Interval Censored Data[J].Journal of Jilin University: Sci Ed,2022,60(3):557-567.
Authors:DONG Xiaogang  PENG Xiaocao  JIANG Jingjing  WANG Chunjie
Institution:School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, China
Abstract:We considered the partly interval censored data, when the time variable obeyed the generalized exponential distribution, two models were established under whether the scale parameter was affected by covariates, then the model parameters were estimated by the maximum likelihood, and Newton-Raphson algorithm was used to solve the parameter estimation. The results of simulation experiments and example analysis verified the effectiveness of the model.
Keywords:partly interval censored data  generalized exponential distribution  maximum likelihood estimation (MLE)     Newton-Raphson algorithm  scaling parameter regression
  
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