ESTIMATION OF A CHANGE-POINT IN THE WEIBULL REGRESSION MODEL

被引:0
|
作者
Palmeros-Rojas, Oscar [1 ]
Villasenor-Alva, Jose A. [1 ]
Tajonar-Sanabria, Francisco S. [2 ]
机构
[1] Colegio Postgrad, Programa Estadist, Campus Montecillo, Texcoco 56230, Estado De Mexic, Mexico
[2] Fac Ciencias Fis Math BUAP, Puebla 72570, Mexico
关键词
empirical processes; Glivenko-Cantelli and Donsker classes; hazard function; maximum likelihood estimators; consistency;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In some lifetime studies abrupt changes in the hazard function are observed due to overhauls, major operations or specific maintenance activities. In such situations it is of interest to detect the location in time where such changes occur. The Weibull regression hazard model with a single change-point is proposed, which is a generalization of the well-known exponential model. Statistical inference is focused on the problem concerning the change-point, taking into account covariates and random censorship. A likelihood-based approach is used for obtaining estimators for a change-point as well as for the hazard and regression parameters for the proposed model. Then the main goal is to prove the consistency of these estimators by relying on modern empirical process theory.
引用
收藏
页码:107 / 118
页数:12
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