Titlebook: Directions in Robust Statistics and Diagnostics; Part II Werner Stahel,Sanford Weisberg Conference proceedings 1991 Springer-Verlag New Yor

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Conference proceedings 1991ric mod­ elling. Parametric models can give a problem sufficient structure to allow standard, well understood paradigms to be applied to make the required inferences. If, how­ ever, the parametric model is not completely correct, then the standard inferential methods may not give reasonable answers.

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Tom Stoppard: Open to the Public it is shown that the “least median of squares” estimator is . an elemental solutions (i.e., fit exactly by . observations), but is determined to have exactly . + 1) equal residuals when there are . parameters.

Charlatan

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0940-6573 four weeks of the six week IMA 1989 summer program "Robustness, Diagnostics, Computing and Graphics in Statistics". An important objective of the organizers was to draw a broad set of statisticians working in robustness or diagnostics into collaboration on the challenging problems in these areas, p

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Small Sample Properties of Robust Analyses of Linear Models Based on R-Estimates: A Survey, robust analyses and surveys past studies of it. With increasing speed of computation, resampling techniques have become feasible solutions to this studentizing problem. Some discussion of these techniques is also offered. To illustrate the discussion a Monte Carlo study of several experiments is included.

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Unmasking Multivariate Outliers and Leverage Points by Means of BMDP3R, is based on the combined use of the LMS standardized residuals and the robust distances of the explanatory regression variables. FORTRAN procedures and the required BMDP input to produce the corresponding robust estimates are presented. The Hawkins-Bradu-Kass data is used as a test example.

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Robustness of the ,-Subset Algorithm for Regression with High Breakdown Point,n properties of the exact estimator. The same result is also valid for other high-breakdown-point estimators. Finally, the special case of one-dimensional location is discussed separately because of unexpected results concerning half samples.

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