(1) Colorado State University, Colorado;(2) University of New South Wales, Australia
Abstract:
The asymptotic normality for least absolute deviation estimates of the parameters in a linear regression model with autoregressive moving average errors is established under very general conditions. The method of proof is based on a functional limit theorem for the LAD objective function.