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Bootstrap Selection of the Smoothing Parameter in Nonparametric Hazard Rate Estimation

 

作者: W. Gonzàlez-Manteiga,   R. Cao,   J.S. Marron,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1996）
卷期: Volume 91, issue 435  

页码: 1130-1140

 

ISSN:0162-1459

 

年代: 1996

 

DOI:10.1080/01621459.1996.10476983

 

出版商: Taylor & Francis Group

 

关键词: Bandwidth selection;Binning;Censored data;Mean integrated squared error;Warping

 

数据来源: Taylor

 

摘要:

An asymptotic representation of the mean weighted integrated squared error for the kernel-based estimator of the hazard rate in the presence of right-censored samples is obtained for different bootstrap resampling methods. As a consequence, a new bandwidth selector based on the bootstrap is introduced. Very satisfactory simulations results are obtained in comparison to the cross-validation selector for different models, using WARPed (i.e., binned) versions of the estimators.

 

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