Titlebook: Developments in Robust Statistics; International Confer Rudolf Dutter,Peter Filzmoser,Peter J. Rousseeuw Conference proceedings 2003 Spring

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Handbook of Islamic Philosophy of Scienceontaining . A high depth point is a point whose depth is at least max. [.(P.)] For dimension . 2 we give a simple, easily implementable .(.(log .).) deterministic algorithm to compute a high depth point and we give an .(. log .) lower bound for this task.

歡呼

Robust Time Series Estimation via Weighted Likelihood,eighted likelihood. Two types of outliers, i.e. additive and innovation, are taken into account without knowing their number, position or intensity. A new procedure is used to classify the outliers and to bound the impact of additive outliers in order to improve the breakdown point of the method. Tw

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Selected Algorithms for Robust M- and L-Regression Estimators,ncentrate on . - and . - estimators, both nonrecursive and recursive ones. The emphasis is on numerical algorithms and computational efficiency, not on their statistical properties. While the main interest is on convex ?-functions generating . estimators, it is pointed out that for non-convex ?-func

Crater

A Simple Test to Identify Good Solutions of Redescending M Estimating Equations for Regression,e multiple structure in a data set (.; .), the focus in this paper is the re-descending M estimators for regression. We use multiple local minima for finding particular structures, such as lines, in the data set by associating them with the local minima in a re-descending M estimation problem for re