Block Empirical Likelihood for Partially Inear Errors-in-variables Models With Longitudinal Data
Year: 2013
Type: article
Abstract: In this paper, block empirical likelihood inference for partially linear errors-in-variables models with longitudinal data are investigated.We apply the block empirical likelihood procedure to accommodate the withingroup correlation of the longitudinal data.The block empirical log-likelihood ratio statistic for the parametric components, which are of primary interest, is suggested.And the nonparametric version of the Wilk's theorem is derived under mild conditions.Thus, the empirical likelihood confidence region with asymptotically correct coverage probabilities for parametric components can be constructed.Simulations are carried out to access the performance of the proposed approach.
Institution: Lanzhou University of Technology
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W1967720600