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

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书目名称Developments in Robust Statistics读者反馈学科排名

慎重

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

armistice

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

Osteoporosis

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

Exposure

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

激怒某人

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

激怒某人

IRATE

airborne

Fillet,Filet

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.