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

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cacophony

https://doi.org/10.1057/9780230378612n developed to facilitate the routine fitting of generalized linear models but most provide few facilities to enable the assessment of the adequacy of these models. Both the informal and formal techniques of model checking can be of equal importance and utility in this respect. Six types of assessme

Pander

Tom Stoppard: Open to the Publicstical inference, the regression quantile computation provides useful information concerning the presence of outliers. Two methods based on regression quantiles can be suggested; one involves “peeling” observations fit exactly by extreme quantiles, and the other comes more directly from the computat

hemorrhage

Simon Gray: Bloody Finished at Lastur paper, the multisided testing problem about .,.which extends the classical multiparameter hypotheses to nonparametrized measures, is studied using a locally asymptotic robust approach. Assuming any full infinitesimal neighborhoods, and i.i.d. observations, we derive a locally asymptotic maximin (

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Children, Normality, and Domestic Tragedyes estimator. Unfortunately, its exact computation is quite difficult because the objective function may have a large number of local minima. Therefore, we have been using an approximate algorithm based on .-subsets. In this paper we prove that the algorithm shares the equivariance and good breakdow

ABHOR

Shakespeare’s Strange Conventionalitygested to use the Minimum Volume Ellipsoid estimator, which can be computed using a resampling algorithm. In this paper the small sample behavior of the robust distances is studied by means of simulation. We obtain a correction factor yielding approximately correct coverage percentages for the corre