چکیده مقاله
We consider a wavelet method for estimating a regression function nonparametrically, for consecutive survival data In some statistical application to medical data, one is interested in sequentially observed periods of disease In such situations we encounter with a set of data that may then be truncated and/or censored Our goal is to estimate nonparametrically the regression functions of this type of the survival time data and investigate their asymptotic properties A simulation study is conducted to investigate the performance of the proposed estimators
کلیدواژهها
Consecutive lifetime data Nonparametric regression Thresholded wavelet estimator
نویسندگان
Esmaeil Shirazi
Department of Statistics, Faculty of Science, Gonbad Kavous University, Gonbad Kavous, Iran
Reza Zarei
Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran
شیوه ارجاع
Shirazi, Esmaeil and Zarei, Reza,1394,Nonparametric Wavelet Regression Estimates for Consecutive Survival data,1st National Conference on Soft Computing,Rasht
ارائهشده در
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