Diagnostic Measures for Partial Linear Models Based on Empirical Likelihood Method

The empirical likelihood method has been extensively applied to many models of statistical inference. This paper is based on empirical likelihood for partial linear models for statistical diagnosis. First, the estimating equations of the model are given and the maximum empirical likelihood estimates of the parameters are obtained; then, based on empirical likelihood method, the three different measures of influence curvatures are studied; last, stochastic simulation and data analysis are given to illustrate the validity of statistical diagnostic measures