Linear Regression Model: Relaxing the Classical Assumptions

Abstract

This chapter relaxes the homoscedasticity and nonautocorrelation assumptions of the random error of a linear regression model and shows how the parameters of the linear model are correctly estimated and tested in presence of heteroscedastic and autocorrelated error...