• 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