Nonparametric Wavelet Regression Estimates for Consecutive Survival data
عنوان مقاله: Nonparametric Wavelet Regression Estimates for Consecutive Survival data
شناسه ملی مقاله: CSCG01_150
منتشر شده در نخستین کنفرانس ملی محاسبات نرم در سال 1394
شناسه ملی مقاله: CSCG01_150
منتشر شده در نخستین کنفرانس ملی محاسبات نرم در سال 1394
مشخصات نویسندگان مقاله:
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.
خلاصه مقاله:
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.
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.
کلمات کلیدی: Consecutive lifetime data, Nonparametric regression, Thresholded wavelet estimator
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/656660/