Detailed Information on Publication Record
2006
Kernel estimates of hazard funcions for carcinoma data sets
HOROVÁ, Ivanka, Jiří ZELINKA and Marie BUDÍKOVÁBasic information
Original name
Kernel estimates of hazard funcions for carcinoma data sets
Name in Czech
Jádrové odhady rizikové funkce pro onkologická data
Name (in English)
Kernel estimates of hazard funcions for carcinoma data sets
Authors
HOROVÁ, Ivanka (203 Czech Republic, guarantor), Jiří ZELINKA (203 Czech Republic) and Marie BUDÍKOVÁ (203 Czech Republic)
Edition
Environmetrics, Chichester, John Wiley & Sons, 2006, 1180-4009
Other information
Language
Czech
Type of outcome
Článek v odborném periodiku
Field of Study
10103 Statistics and probability
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 0.632
RIV identification code
RIV/00216224:14310/06:00016858
Organization unit
Faculty of Science
UT WoS
000236772800004
Keywords in English
hazard function; kernel estimate; asymptotic optimal estimate; carcinoma data set
Změněno: 23/6/2009 10:32, Mgr. Jiří Zelinka, Dr.
V originále
The present article focuses on kernel estimates of hazard functions and their derivatives. Our approach is based on the model introduced by Műller and Wang (1990). In order to estimate the hazard function in an effective manner and automatic procedure in a paper by Horová et. al. (2002) is applied. The procedure chooses a bandwidth, a kernel and an order of kernel. As a by-product we propose a special procedure for this estimation of the optimal bandwidth. This is applied to the carcinoma data sets kindly provided by the Masaryk Memorial Cancer Institute in Brno. Attention is also paid to the point of the most rapid change of the hazard function.
In English
The present article focuses on kernel estimates of hazard functions and their derivatives. Our approach is based on the model introduced by Műller and Wang (1990). In order to estimate the hazard function in an effective manner and automatic procedure in a paper by Horová et. al. (2002) is applied. The procedure chooses a bandwidth, a kernel and an order of kernel. As a by-product we propose a special procedure for this estimation of the optimal bandwidth. This is applied to the carcinoma data sets kindly provided by the Masaryk Memorial Cancer Institute in Brno. Attention is also paid to the point of the most rapid change of the hazard function
Links
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