A Modified Gauss-Newton Iterative Method for Nonlinear Models with Right-Censored Data

被引：0
|
作者：
Zong Xu-ping [1 ]
Feng Guolin [2 ]
机构：
[1] Yangzhou Univ, Sch Math, Yangzhou 225002, Jiangsu, Peoples R China
[2] Chinese Natl Climate Ctr, Beijing 100081, Peoples R China
来源：
JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY | 2011年 / 5卷 / 01期
关键词：
Gauss-Newton iteration method; Right-censored data; Nonlinear regression models;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents Modified Gauss-Newton iteration algorithm for the nonlinear regression models for Failure Time Data set. The convergence of the iteration is proved carefully. Simulation illustrated that our method is available. Our results may be regarded as an extension of Wei (1998) for exponential nonlinear regression models without failure time data.
引用
收藏
页码：105 / 110
页数：6
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