We study the least square estimator, in the framework of simple linear regression, when the deviance term $\varepsilon$ 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.

翻译：在简单线性回归框架内,当线性模型的偏离术语 $\ varepsilon$ 以统一的分布模式建模时,我们研究最小平方估计值。特别是,我们给出了这个估计值的法律,并证明了某些趋同性。