MINIMUM DISPARITY ESTIMATION : ASYMPTOTIC NORMALITY AND BREAKDOWN POINT RESULTS
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概要
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The minimum disparity estimators for discrete models introduced by Lindsay (1994, Ann. Statist, 22, 1081-1114) are useful and practical data analytic tools. But for continuous models, further machinery such as kernel density estimation is needed and general results concerning the efficiency and breakdown results are unavailable. In this paper we establish the asymptotic normality for a subclass of minimum disparity estimators which satisfy certain properties, as well as lay out general results for breakdown point analysis.
- Research Association of Statistical Sciencesの論文
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