Resampling for checking linear regression models via non-parametric regression estimation
Let us consider the fixed regression model, and assume that the random errors, {?t}, follow an ARMA-type dependence structure. The purpose of this paper is to study the application of the bootstrap test to check that the unknown regression function, m, follows a general linear model of the type:
regression models bootstrap hypothesis testing non-parametric estimators time series