EMPIRICAL LIKELIHOOD RATIO TEST FOR SERIAL CORRELATION IN ADDITIVE MODELS
We propose an empirical likelihood based method for testing serial correlation in additive models. The proposed test statistic is shown to have asymptotic chi-squared distribution under the null hypothesis of no serial correlation. Furthermore, a simulation study is conducted to illustrate the performance of the proposed method.
additive models, backfitting, empirical likelihood, serial correlation.
