Department of Mathematics
Testing the adequacy of varying coefficient models with missing responses at random
In this paper, we investigate checking the adequacy of varying coefficient models with response missing at random. In doing so, we first construct two completed data sets based on imputation and marginal inverse probability weighted methods, respectively. The empirical process-based tests by using these two completed data sets are suggested and the asymptotic properties of the test statistics under the null and local alternative hypotheses are studied. Because the limiting null distribution is intractable, a Monte Carlo approach is applied to approximate the distribution to determine critical values. Simulation studies are carried out to examine the performance of our method, and a real data set from an environmental study is analyzed for illustration. © 2011 Springer-Verlag.
Empirical process, Imputation, Model checking, Response missing at random, Varying coefficient models
Source Publication Title
Link to Publisher's Edition
Xu, Wangli, and Lixing Zhu. "Testing the adequacy of varying coefficient models with missing responses at random." Metrika 76.1 (2013): 53-69.