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P. Zhao and L. Xue, “Empirical Likelihood Inferences for Semiparametric Varying Coefficient Partially Linear Errors in Variables Models with Longitudinal Data,” Journal of Nonparametric Statistics, Vol. 21, No. 7, 2009, pp. 907-923. http://dx.doi.org/10.1080/10485250902980576

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.