On the Strong Consistency of M-Estimates in Linear Models for Negatively Superadditive Dependent Errors

摘要

In this paper we discuss the strong consistency of M-estimates of the regression parameters in a linear model with negatively superadditive dependent (NSD) random errors. The result improves the moment condition and generalises the case of independent random errors to that of NSD random errors.