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

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發(fā)表于 2025-3-21 17:33:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Developments in Robust Statistics
副標(biāo)題International Confer
編輯Rudolf Dutter,Peter Filzmoser,Peter J. Rousseeuw
視頻videohttp://file.papertrans.cn/271/270276/270276.mp4
概述Presents newest developments and applications of Robust Statistics.Authored by leading scientists, experienced researchers and practitioners.Includes supplementary material:
圖書封面Titlebook: Developments in Robust Statistics; International Confer Rudolf Dutter,Peter Filzmoser,Peter J. Rousseeuw Conference proceedings 2003 Spring
描述Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.
出版日期Conference proceedings 2003
關(guān)鍵詞Analysis; Estimator; Generalized linear model; Linear discriminant analysis; Measure; Median; Projection p
版次1
doihttps://doi.org/10.1007/978-3-642-57338-5
isbn_softcover978-3-642-63241-9
isbn_ebook978-3-642-57338-5
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Lift-zonoid and Multivariate Depths,ith full-dimensional convex hull of the support, the Oja depth determines the measure. The proof of this results are based on some relation between the Oja depth and projections of the lift zonoid. This relation allows us to use another result of integral geometry: the uniqueness theorem of Alexandr
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Asymptotic Distributions of Some Scale Estimators in Nonlinear Models, .. is free of the initial estimator of the regression/autoregressive parameters. A similar conclusion also holds for .. in linear regression models through the origin and with centered designs, and in linear autoregressive models with zero mean errors..This paper also investigates the limiting dist
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e e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.978-3-642-63241-9978-3-642-57338-5
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https://doi.org/10.1007/978-1-4615-4773-0ed by the usual regression quantiles, but additionally by a regression on the empirical quantile at each school. This is similar to least squares where the estimate based on the entire data is identical to weighted least squares on the school averages. Unlike least squares however, the regression th
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Women and Education in Muslim Contextith full-dimensional convex hull of the support, the Oja depth determines the measure. The proof of this results are based on some relation between the Oja depth and projections of the lift zonoid. This relation allows us to use another result of integral geometry: the uniqueness theorem of Alexandr
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Robust Inference Based on Quasi-likelihoods for Generalized Linear Models and Longitudinal Data, assessed for both generalized linear models and longitudinal data analysis. The proposed class of test statistics yields reliable inference even under model contamination. The analysis of a real data set completes the article.
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