The traditional variance components approach for quantitative trait locus (QTL) linkage analysis is sensitive to violations of normality and fails for selected sampling schemes. Recently, a number of new methods have been developed for QTL mapping in humans. Most of the new methods are based on score statistics or regression-based statistics and are expected to be relatively robust to non-norma...

Order statistics theory is applied in this paper to probabilistic robust control theory to compute the minimum sample size needed to come up with a reliable estimate of an uncertain quantity under continuity assumption of the related probability distribution. Also, the concept of distribution-free tolerance intervals is applied to estimate the range of an uncertain quantity and extract the info...

In this paper, we consider a large class of computational problems in robust statistics, which can be formulated as selection of optimal subsets of data based on some criterion function. To solve such problems, there are largely two classes of algorithms available in the literature. One is based on purely random search, and the other is based on deterministically guided strategies. Though these...

We combine the Cosmic Lens All-Sky Survey (CLASS) with new Sloan Digital Sky Survey (SDSS) data on the local velocity dispersion distribution function of E/S0 galaxies, φ(σ), to derive lens statistics constraints on ΩΛ and Ωm. Previous studies of this kind relied on a combination of the E/S0 galaxy luminosity function and the Faber-Jackson relation to characterize the lens galaxy population. Ho...

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In this paper we study nonlinear ARX models in relation to a class of kernel based models which make use of kernel induced feature spaces, a methodology which is common in the area of support vector machines (SVMs). Methods are proposed for extending the use of least squares support vector machine (LS-SVM) models towards a robust setting. In order to understand the robustness of these estimator...

The search for groups of important sectors in an economy has been and still is one of the more recurrent themes in input-output analysis. But a sector can probably be important for some questions at the same time, to a different degree. In this direction, a multidimensional fuzzy clustering analysis gives as a result a classification of sectors illustrating the different roles that each one pla...