Open AccessA Modified Gauss-Newton Iterative Method for Nonlinear Models with Right-Censored Data
Author(s) -
Zong Xu-ping,
Guolin Feng
Publication year - 2011
Publication title -
journal of algorithms and computational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.234
H-Index - 13
eISSN - 1748-3026
pISSN - 1748-3018
DOI - 10.1260/1748-3018.5.1.105
Subject(s) - extension (predicate logic) , nonlinear system , convergence (economics) , newton's method , nonlinear regression , mathematics , exponential function , gauss , set (abstract data type) , iterative method , data set , algorithm , mathematical optimization , computer science , regression analysis , statistics , mathematical analysis , physics , quantum mechanics , economics , programming language , economic growth
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.