DocumentCode
596743
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
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
1017
Lastpage
1020
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463325
Filename
6463325
Link To Document