Results 251 to 260 of about 157,142 (279)

Simultaneous inference for Kendall’s tau

Journal of Multivariate Analysis, 2021
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Claus P. Nowak, Frank Konietschke
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Kendall's Tau with a Blocking Variable

Biometrics, 1984
Kendall's rank correlation tau between two variables, in the presence of a third blocking variable, is defined. An estimator of the common tau within the blocks is used to test conditional independence of the two variables, given the blocking variable. An application is presented.
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Variances and Covariances of Kendall's Tau and Their Estimation

Multivariate Behavioral Research, 1991
We generalize the formulas derived by Daniels and Kendall (1947) for the variance of the sample tau correlation. It is assumed that multivariate data are sampled from a population, and sample taus between pairs of variables are being used to estimate their population counterparts.
N, Cliff, V, Charlin
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Local Kendall’s Tau

2014
We introduce two local versions of Kendall’s tau conditioning on one or two random variable(s) varying less than a fixed distance. Some basic properties are proved. These local Kendall’s taus are computed for some shuffles of Min and the Farlie-Gumbel-Morgenstern copulas and shown to distinguish between complete dependence and independence copulas.
P. Buthkhunthong, A. Junchuay, I. Ongeera, T. Santiwipanont, S. Sumetkijakan   +4 more
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On the independence problem and kendall's tau

Communications in Statistics - Theory and Methods, 1983
A modification of Kendall's test for independence is described which allows one to test for association in a bivariate distribution as measured by Kendall's tau, a property not shared by Kendall's procedure. The proposed procedure, however, still provides an exactly distribution-free test of independence.
Michael A. Fligner, Steven W. Rust
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Confidence intervals for Kendall's tau

British Journal of Mathematical and Statistical Psychology, 1997
A simulation study was conducted to examine the performance of several confidence intervals (CIs) for Kendall's tau ( t xy ) under a variety of population conditions. Two normal population variables ( N = 10,000) were transformed to ...
Long, Jeffrey D., Cliff, Norman
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Discriminative Preordering Meets Kendall's Tau Maximization

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015
This paper explores a simple discriminative preordering model for statistical machine translation. Our model traverses binary constituent trees, and classifies whether children of each node should be reordered. The model itself is not extremely novel, but herein we introduce a new procedure to determine oracle labels so as to maximize Kendall’s τ ...
Sho Hoshino, Yusuke Miyao, Katsuhito Sudoh, Katsuhiko Hayashi 0001, Masaaki Nagata   +4 more
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Spearman‐like computation of Kendall's tau

British Journal of Mathematical and Statistical Psychology, 1977
Two new methods for calculating Kendall's tau from rank differences are shown to be valid if neither or one of the rankings contains tied ranks, but not if both do.
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Kendall’s Tau for Elliptical Distributions

2003
By using well known properties of elliptical distributions we show that the relation between Kendall’s tau and linear correlation coefficient for bivarate normal distributions holds more generally (subject to only slight modifications) for the class of elliptical distributions.
Filip Lindskog, Alexander McNeil, Uwe Schmock   +2 more
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Estimation of Kendall’s tau from censored data

Computational Statistics & Data Analysis, 2010
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