Model checking for partial linear model with right censored response

Qiuyue Li, Xu Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
Pages1017-1020
Number of pages4
DOIs
Publication statusPublished - Dec 1 2012
Event2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 - Nanjing, China
Duration: Oct 18 2012Oct 20 2012

Publication series

Name2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012

Conference

Conference2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012
CountryChina
CityNanjing
Period10/18/1210/20/12

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics

Cite this

Li, Q., & Guo, X. (2012). Model checking for partial linear model with right censored response. In 2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012 (pp. 1017-1020). [6463325] (2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012). https://doi.org/10.1109/ICACI.2012.6463325