Article citationsMore>>

J. You, X. Zhou and Y. Zhou, “Statistical Inference for Panel Data Semiparametric Partially Linear Regression Models with Heteroscedastic Errors,” Journal of Multivariate Analysis, Vol. 101, No. 5, 2010, pp. 1079-1101.
http://dx.doi.org/10.1016/j.jmva.2010.01.003

has been cited by the following article:

• TITLE: Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect

  AUTHORS: Wanbin Li, Liugen Xue

  KEYWORDS: Varying Coefficient Model; Random Effect; Empirical Likelihood; Longitudinal Data

  JOURNAL NAME: Open Journal of Statistics, Vol.3 No.6A, December 27, 2013

  ABSTRACT: In this article, we develop a statistical inference technique for the unknown coefficient functions in the varying coeffi- cient model with random effect. A residual-adjusted block empirical likelihood (RABEL) method is suggested to inves- tigate the model by taking the within-subject correlation into account. Due to the residual adjustment, the proposed RABEL is asymptotically chi-squared distribution. We illustrate the large sample performance of the proposed method via Monte Carlo simulations and a real data application.