TY - GEN
T1 - Model checking for partial linear model with right censored response
AU - Li, Qiuyue
AU - Guo, Xu
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84874596687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874596687&partnerID=8YFLogxK
U2 - 10.1109/ICACI.2012.6463325
DO - 10.1109/ICACI.2012.6463325
M3 - Conference contribution
AN - SCOPUS:84874596687
SN - 9781467317436
T3 - 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
SP - 1017
EP - 1020
BT - 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
T2 - 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
Y2 - 18 October 2012 through 20 October 2012
ER -