Supported by the National Natural Science Foundation of China (10571008);the Natural Science Foundation of Henan (092300410149);the Core Teacher Foundationof Henan (2006141)
In this article, a partially linear single-index model /or longitudinal data is investigated. The generalized penalized spline least squares estimates of the unknown parameters are suggested. All parameters can be est...
Supported by the National Natural Science Foundation of China(No.10571008)
Informative dropout often arise in longitudinal data. In this paper we propose a mixture model in which the responses follow a semiparametric varying coefficient random effects model and some of the regression coeffic...