Results 11 to 20 of about 1,172,135 (282)
AbstractBuilding on Pierre Simon’s notion of distality, we introduce distality rank as a property of first-order theories and give examples for each rankmsuch that$1\leq m \leq \omega $. For NIP theories, we show that distality rank is invariant under base change.
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Inference for rank-rank regressions
The slope coefficient in a rank-rank regression is a popular measure of intergenerational mobility. In this article, we first show that commonly used inference methods for this slope parameter are invalid. Second, when the underlying distribution is not continuous, the OLS estimator and its asymptotic distribution may be highly sensitive to how ties in
Chetverikov, Denis N., Wilhelm, Daniel
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We need to reason about rankings of objects in a wide variety of domains including information retrieval, sports tournaments, bibliometrics, and statistics. We propose a global constraint therefore for modeling rankings. One important application for rankings is in reasoning about the correlation or uncorrelation between sequences.
Bessiere, Christian +4 more
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Tensor decomposition and homotopy continuation [PDF]
A computationally challenging classical elimination theory problem is to compute polynomials which vanish on the set of tensors of a given rank. By moving away from computing polynomials via elimination theory to computing pseudowitness sets via ...
Bernardi, Alessandra +3 more
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This paper concerns multi‐attribute decision support methodology applied to analyze the impact of retail centres on the city as a complex system. Influence on the city is described as the sum of effects the retail centres give to the quality of life to ...
Jurgis Zagorskas, Zenonas Turskis
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Numerical studies of entangled PPT states in composite quantum systems [PDF]
We report here on the results of numerical searches for PPT states with specified ranks for density matrices and their partial transpose. The study includes several bipartite quantum systems of low dimensions.
Leinaas, Jon Magne +2 more
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Minimum Distance Tests and Estimates Based on Ranks
It is well known that the least squares estimate in classical linear regression model is very sensitive to violation of the assumptions, in particular normality of model errors.
Radim Navrátil
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We extend the principle of proportional representation to rankings: given approval preferences, we aim to generate aggregate rankings so that cohesive groups of voters are represented proportionally in each initial segment of the ranking. Such rankings are desirable in situations where initial segments of different lengths may be relevant, e.g., in ...
Skowron, P +4 more
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Pseudo-Ranks: How to Calculate Them Efficiently in R
Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent groups.
Martin Happ +3 more
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Studying norms in small groups by means of multi-group concordance analysis [PDF]
An experiment in the field of social psychology is presented, emphasising the application of some less renowned statistical methods for analysing ranked data.
Gaj Vidmar, Matej Černigoj
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