The modified Yule-Walker (MYW) equations are often used to estimate the autoregressive parameters of time series. The asymptotic estimation error variance of these parameters can be computed using a formula developed for the instrumental variable method. The performance of the MYW estimator is studied by evaluating this formula for different signal-to-noise ratios and process bandwidths, as a function of the number of equations used by the estimator. The Cramer-Rao lower bound for the estimation error variance is computed for comparison. The optimally weighted MYW estimator is briefly discussed.
['Benjamin Friedlander', 'Ken Sharman']
Performance evaluation of the modified Yule-Walker estimator