Title :
Model checking for partial linear model with right censored response
Author :
Qiuyue Li ; Xu Guo
Author_Institution :
Coll. of Sci., China Agric. Univ., Beijing, China
Abstract :
In this paper, we aim to check whether the nonparametric part in a partial linear regression model is parametric or not in the presence of right censored response. We propose a test statistics which can be considered as a kernel based smoothing estimator of some moment condition. We investigate our proposed test´ asymptotic properties under the null and local alternative hypothesis. Simulation studies are carried out to illustrate the performance of the sizes and powers of our test. We also apply our methodology to a study on multiple myeloma.
Keywords :
estimation theory; formal verification; regression analysis; kernel-based smoothing estimator; local alternative hypothesis; model checking; moment condition; multiple myeloma; nonparametric part; null alternative hypothesis; partial linear regression model; right censored response; test asymptotic properties; test statistics; Analytical models; Computational modeling; Data models; Estimation; Kernel; Mathematical model; Smoothing methods;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463325