A model for nonlinear innovation in time series.

Abstract

This paper introduces a class of nonlinear innovation process that has similar properties as the white noise process. Consequently the process can be a replacement of the white noise process in cases where the latter is inadequate as residual process. KEYWORDS: Asymptotic distribution of autocorrelation, nonlinear errors, nonlinear residuals, nonlinear time series