Weibull distribution has been widely applied in many areas and estimations of its parameters are an important issue. Thus are let of literature. Consider the estimation problem; however, when the data is contaminated most of the proposed estimations do not possess the property of robustness. In this thesis, we apply minimum Hellinger distance estimate (MHDE) for this problem. As is well-known, MHDE provides not only the first order efficiency, but also robustness, we have also provided numerical simulations based on MLE and MHDE and its comparisons have been made. Finally, some extension of the Weibull model has also been proposed.
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