Cramér-von Mises type estimation of the regression parameter: The rank analogue

A point estimator based on minimization of the rank analogue of the Cramér-von Mises statistic is proposed for the slope parameter [beta] in the simple linear regression model. The asymptotic distribution of the estimator is derived and its variance is compared to the asymptotic variances of several common estimators for [beta] at various underlying distributions.