GENERALIZED PARETO LAW AS A MODEL FOR PROGRESSIVELY CENSORED SURVIVAL DATA
成果类型：
Article
署名作者：
DAVIS, HT; FELDSTEIN, ML
署名单位：
University of Rochester
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1979
页码：
299306
关键词：
摘要：
The generalized Pareto distribution as a model for survival data is considered. The 3 parameter model is general enough so as to include increasing, decreasing and constant failure rate distributions. Maximum likelihood estimation for the progressively censored case is discussed at length and conditions for existence and uniqueness of estimates are given. Examples are presented to illustrate its appropriateness for a variety of situations, [e.g., modeling chronic disease populations or surgery effects].