Glivenko-Cantelli Theorem for the kernel error distribution estimator in the first-order autoregressive model

This paper considers the uniform strong consistency of the kernel estimator of the error cumulative distribution function (CDF) in the first-order autoregressive model. The classical Glivenko-Cantelli Theorem is extended to the residual based kernel smooth CDF estimator in the autoregressive model.