Confidence ellipses for simple regression parameters with strongly mixing errors

Abstract

In this work, we establish exponential inequalities which allow us to construct confidence regions, characterized by ellipses, for the least squares estimates of the parameters in the case of a linear regression model with ?-mixing errors.