翻布寻找 发表于 2025-3-28 17:47:34

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掺和 发表于 2025-3-28 20:00:16

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 发表于 2025-3-28 23:32:11

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 发表于 2025-3-29 03:36:08

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ABASH 发表于 2025-3-29 09:38:01

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Radiation 发表于 2025-3-29 12:48:21

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多嘴 发表于 2025-3-29 18:31:07

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infantile 发表于 2025-3-29 19:59:48

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

混合物 发表于 2025-3-30 02:18:23

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否认 发表于 2025-3-30 04:02:46

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