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

翻布尋找

摻和

Robust Nonparametric Regression and Modality,The paper considers the problem of nonparametric regression with emphasis on controlling the number of local extremes and on resistance against patches of outliers. The robust taut string method is introduced and robustness properties are discussed. An automatic procedure is described.

背心

A Comparison of Some New Measures of Skewness,st three moments of the data set, and hence it is strongly affected by the presence of one or more outliers. In this paper we propose several new measures of skewness which are more robust against outlying values. Their properties are compared using both real and simulated data.

甜食

ABASH

Radiation

多嘴

infantile

Why Is Mediation So Hard? The Case of Syriancentrate 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

混合物

否認(rèn)

Commitment in the Early Years of Marriageh asymptotic efficiency. To compute the CM-estimate, the global minimum of an objective function with an inequality constraint has to be localized. To find the S-estimate for the same problem, we instead restrict ourselves to the boundary of the feasible region. The algorithm presented for computing