Asymptotic properties for M-estimators in linear models with dependent random errors

In this paper, we make use of the technique of martingales to establish the moderate deviations and strong Bahadur representations for M-estimators of the regression parameter in a linear model when the errors form a type of Markov chain. As an application, we obtain a law of the iterated logarithm for the estimators.