Robustness and efficiency of the residual scale estimators in the regression model is important for robust inference. We introduce the class of robust ...
Dec 13, 2013 · Abstract. Robustness and efficiency of the residual scale estimators in the regression model is important for robust inference.
Robustness and efficiency of the residual scale estimators in the regression model is important for robust inference. We introduce the class of robust ...
Robustness and efficiency of the residual scale estimators in the regression model is important for robust inference. We introduce the class of robust ...
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Robustness and efficiency of the residual scale estimators in the regression model is impor- tant for robust inference. We introduce the class of robust ...
The approach then finds a highly robust and resistant S-estimate that minimizes an M-estimate of the residual scale. The evaluated scale is then kept consistent ...
Title, Robust and efficient estimation of the residual scale in linear regression ; Publication Type, Journal Article ; Authors, Van Aelst, S, Willems, G, Zamar, ...
The objective of this paper was to propose an original, better method for the estimation of a linear regression model with normal errors that may contain ...
We say that an estimator or statistical procedure is robust if it provides useful information even if some of the assumptions used to justify the estimation ...
This paper introduces a new class of robust regression estimators. The proposed two- step least weighted squares (2S-LWS) estimator employs data-adaptive ...