A local linear estimation of conditional hazard function in censored data

A local linear estimator of the conditional hazard function in censored data is proposed. The estimator suggested in this paper is motivated by the ideas of Fan, Yao, and Tong (1996) and Kim, Bae, Choi, and Park (2005). The asymptotic distribution of the proposed estimator is derived, and some numer...

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Bibliographic Details
Published inJournal of the Korean Statistical Society Vol. 39; no. 3; pp. 347 - 355
Main Authors Kim, Choongrak, Oh, Minkyung, Yang, Seong J., Choi, Hyemi
Format Journal Article
LanguageEnglish
Published Singapore Elsevier B.V 01.09.2010
Springer Singapore
한국통계학회
Subjects
Applied Statistics
Bandwidth
Bayesian Inference
Kaplan–Meier estimator
Kernel smoothing
Local linear estimation
Statistical Theory and Methods
Statistics
Statistics and Computing/Statistics Programs
통계학
secondary
Kaplan–Meier estimator
Local linear estimation
Kernel smoothing
Bandwidth
primary
primary 62G05
secondary 62N02
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Summary:A local linear estimator of the conditional hazard function in censored data is proposed. The estimator suggested in this paper is motivated by the ideas of Fan, Yao, and Tong (1996) and Kim, Bae, Choi, and Park (2005). The asymptotic distribution of the proposed estimator is derived, and some numerical results are also provided.
Bibliography:G704-000337.2010.39.3.012
ISSN:1226-3192
2005-2863
DOI:10.1016/j.jkss.2010.03.002