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KENDALL'S TAU AND CONTINGENCY TABLES
Australian Journal of Statistics, 1988SummaryKendall's tau is a coefficient of concordance between two rankings of n objects. Its definition and large sample normal approximation are easily extended to the case where one of the rankings contains ties. In this paper, definition and normal approximation are extended further to the case where both rankings contain ties.
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Kendall’s Tau for Elliptical Distributions
2003By 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 +2 more
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Estimation of Kendall’s tau from censored data
Computational Statistics & Data Analysis, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Kendall's Tau for non-independent data
2021Kendall's Tau is a non-parametric U-statistic used on bivariate data that measures whether or not these two variables are independent and, if not independent, assesses the type and degree of dependency that exists between them based on the concordance (and discordance) structure of the data.
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Kendall-Tau Regression for Ordinal Data
2016Linear regressions (Chaps. 8 and 10) are adequate for outcomes with continuous data, otherwise called scale data. Continuous data have a stepping pattern, where the steps have equal intervals. If, in a regression model, the outcome data have a stepping pattern, but the intervals are not equal, then the term ordinal data is more appropriate for such ...
Ton J. Cleophas, Aeilko H. Zwinderman
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Non-Graphic Computation of Kendall's Tau
The American Statistician, 1961Kendall's tau is generally more difficult to compute than is another common rank order correlation coefficient, Spearman's rho. Further, this relative difficulty is rapidly increased when large numbers of cases are ranked. Recently, Griffin reported a graphic method for the computation of tau that offers advantages over earlier methods.1 This approach,
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Testing independence in high dimensions using Kendall’s tau
Computational Statistics & Data Analysis, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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