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This paper discusses minimum distance estimation method in the linearregression model with dependent errors which are strongly mixing. Theregression parameters are estimated through the minimum distance estimationmethod, and asymptotic distributional properties of the estimators arediscussed. A simulation study compares the performance of the minimum distanceestimator with other well celebrated estimator. This simulation study shows thesuperiority of the minimum distance estimator over another estimator. KoulMde(R package) which was used for the simulation study is available online. Seesection 4 for the detail.

Generalized Minimum Distance Estimators in Linear Regression with Dependent Errors