Global Polynomial Kernel Hazard Estimation

This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theoretical point of view as it asymptotically reduces...

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發表在:Revista Colombiana de Estadística
Main Authors: Munir Hiabu, María Dolores Martínez-Miranda, Jens Perch Nielsen, Jaap Spreeuw, Carsten Tanggaard, Andrés M. Villegas
格式: Artigo
語言:Inglês
出版: Universidad Nacional de Colombia 2015
主題:
Física, Astronomía y Matemáticas
Hazard Function
Boundary Kernels
Kernel Estimation
Polynomial Correction
Local Linear Estimation
在線閱讀:https://www.redalyc.org/articulo.oa?id=89940050006
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