Evaluating some Yule-Walker Methods with the Maximum-Likelihood Estimator for the Spectral ARMA Model

Abstract

The aim of this work is to compare some ARMA spectral separatede stimation methods based on the modified Yule-Walker equation and least squares method with the Maximum-Likelihood estimator, using the convergence curve of the relative mean error (RME), generated by Monte Carlo simulation.