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.

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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 ϱ-functions generating . estimators, it is pointed out that for non-convex ϱ-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