%0 Journal Article
%T Empirical Likelihood Inference for Partial Functional Linear Regression Models Based on B-spline | Yuan | International Journal of Statistics and Probability | CCSE
%J International Journal of Statistics and Probability
%D 2019
%I 
%R 10.5539/ijsp.v8n1p135
%X In this paper, we apply empirical likelihood method to infer for the regression parameters in the partial functional linear regression models based on B-spline. We prove that the empirical log-likelihood ratio for the regression parameters converges in law to a weighted sum of independent chi-square distributions. Our simulation shows that the proposed empirical likelihood method produces more accurate confidence regions in terms of coverage probability than the asymptotic normality method
%U http://www.ccsenet.org/journal/index.php/ijsp/article/view/0/37918