Results 261 to 270 of about 157,142 (279)
Some of the next articles are maybe not open access.
A weighted Kendall's tau statistic
Statistics & Probability Letters, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Comparing and Aggregating Partial Orders with Kendall Tau Distances
Discrete Mathematics, Algorithms and Applications, 2012Comparing and ranking information is an important topic in social and information sciences, and in particular on the web. Its objective is to measure the difference of the preferences of voters on a set of candidates and to compute a consensus ranking. Commonly, each voter provides a total order or a bucket order of all candidates, where bucket orders ...
Franz-Josef Brandenburg +2 more
openaire +3 more sources
An algorithm for maximizing Kendall's τ
Computational Statistics & Data Analysis, 2001Transformations that maximize the strength of dependence of jointly distributed random variables are of great importance in various data analysis problems. This paper presents a procedure for maximization of Kendall's \(\tau\) -- a coefficient of a monotone dependence in bivariate data. Results of a simulation study of the effectiveness of the proposed
Kowalczyk, T., Niewiadomska-Bugaj, M.
openaire +1 more source
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.
openaire +1 more source
Fuzzy Kendall $\pmb\tau$ Statistic for Autocorrelated Data
2009Kendall’s τ statistic has found many practical applications. Recently, it has been proposed by Hryniewicz and Szediw as the basis for the Kendall control chart for monitoring autocorrelated production processes. They have shown that this chart has good statistical characteristics only for large samples. Unfortunately, in such a case existing algorithms
Olgierd Hryniewicz, Anna Szediw
openaire +1 more source
Testing independence in high dimensions using Kendall’s tau
Computational Statistics & Data Analysis, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources