Limiting Behavior of RecursiveM-Estimators in Multivariate Linear Regression Models

In this paper, several recursive algorithms for computingM-estimates in multivariate linear regression models are discussed. It is shown that the recursiveM-estimators of regression coefficient and scatter parameters are strongly consistent. In particular, the asymptotic normality of the recursiveM-estimators of regression coefficients is established.