Hazard Rate Estimation by Local Polynomial Method: Adaption to Data Sparsity
碩士 === 臺灣大學 === 數學研究所 === 95 === 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...
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/29175047260571518809 |
Summary: | 碩士 === 臺灣大學 === 數學研究所 === 95 === 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.
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