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A new procedure, called DD-procedure, is developed to solve the problem of classifying d-dimensional objects into q Ï 2 classes. The procedure is completely nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0, 1]q ....
Persistent link: https://www.econbiz.de/10010986596
A new procedure, called D D α-procedure, is developed to solve the problem of classifying d-dimensional objects into q ≥ 2 classes. The procedure is nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0,1]<Superscript> q </Superscript>....</superscript>
Persistent link: https://www.econbiz.de/10010998619
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The classical point estimation problem is investigated under alternative loss functions which are quasi-convex and symmetric with respect to some subgroup of the orthogonal group in n. A characterization of better estimators is proved and applied to scale and translation families of estimators....
Persistent link: https://www.econbiz.de/10005199573
In multivariate decisions under risk, assessing the complete utility function can be a major obstacle. Decision rules are investigated which characterize uniformly better alternatives with respect to a whole class of utility functions. In this paper independence assumptions are imposed on the...
Persistent link: https://www.econbiz.de/10009209102
The Gini index and the Gini mean difference of a univariate distribution are extended to measure the disparity of a general $d$- variate distribution. We propose and investigate two approaches, one based on the distance of the distribution from itself, the other on the volume of a convex set in...
Persistent link: https://www.econbiz.de/10005742809
The paper introduces an approach to the ordering of dependence which is based on central regions. A d-variate probability distribution is described by a nested family of sets, called central regions. Those regions are affine equivariant, compact and starshaped and concentrate about a properly...
Persistent link: https://www.econbiz.de/10005556353
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Persistent link: https://www.econbiz.de/10005351022
Two extensions of the univariate Gini index are considered:RD, based on expected distance between two independent vectors from the same distribution with finite mean[mu][set membership, variant]d; andRV, related to the expected volume of the simplex formed fromd+1 independent such vectors. A new...
Persistent link: https://www.econbiz.de/10005160471