The American Statistician · 2002 · 482 citations · 17 references
Natural SciencesMathematicsEconometricsStatistical ModelingStatisticsBayesian InferenceEstimation TheoryInferential StatisticsParameter EstimationStatistical AnalysisStatistical InferenceAsymptotic AnalysisAsymptotic TheoryEstimation EquationsEstimation Of Regression ModelsFinite Sample EstimationHuber EstimationMaximum Likelihood EstimatorRegression Estimation
Since the seminal papers by Huber in the 1960s, M-estimation methods (also known as estimating equation methods) have been increasingly important for asymptotic analysis and approximate inference. This article illustrates the breadth and generality of the M-estimation approach, thereby facilitating its use inpractice and in the classroom as a unifying approach to the study of large-sample inference.
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Robust Estimation of a Location Parameter
Peter J. Huber · The Annals of Mathematical Statistics · 1964 · 7K citations · Full text
Leonard A. Stefanski, Wayne A. Fuller, John Wiley · Journal of Business and Economic Statistics · 1988 · 2.9K citations