Analysis of Least square estimator for simple Linear Regression with a uniform distribution error

Abstract

We study the least square estimator, in the framework of simple linear regression, when the deviance term $\epsilon$ with respect to the linear model is modeled by a uniform distribution. In particular, we give the law of this estimator, and prove some convergence properties.