Statistical inference for multivariate partially linear regression models.

You, Jinhong; Zhou, Yong; ChEN, Gemai

In this paper we study a class of multivariate partially linear regression models. Various estimators for the parametric component and the nonparametric component are constructed and their asymptotic normality established. In particular, we propose an estimator of the contemporaneous correlation among the multiple responses and develop a test for detecting the existence of such contemporaneous correlation without using any nonparametric estimation. The performance of the proposed estimators and test is evaluated through some simulation studies and an analysis of a real data set is used to illustrate the developed methodology. The Canadian Journal of Statistics 41: 1-22; 2013 © 2013 Statistical Society of Canada

STATISTICAL correlation; GRAPHIC methods in statistics; REGRESSION analysis; LEAST squares; STATISTICS

Canadian Journal of Statistics, 2013, Vol 41, Issue 1, p1

0319-5724

Academic Journal

10.1002/cjs.11169