Hazard Rate Estimation by Local Polynomial Method: Adaption to Data Sparsity
Date Issued
2007
Date
2007
Author(s)
Lin, Szu-cheng
DOI
zh-TW
Abstract
In survival studies, observations on the occurrence of the event of interest (called a failure) may be preceded by the previous occurrence of another event (called a censoring event). We assume the random censorship model, and consider Jiang and Doksum (2003) method to estimate the hazard function. By averaging each observation to its neighborhood, we adapt the estimator to sparse data. Finally, we compare our adaptive method with the original one by simulation studies.
Subjects
風險函數
局部多項式
資料稀少
Hazard rate
Local polynomial
Sparsity
Type
thesis
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