fastWKendall: an efficient algorithm for weighted Kendall correlation

DOI10.1007/s00180-017-0775-6zbMath1417.65046OpenAlexW2765588404WikidataQ63565680 ScholiaQ63565680MaRDI QIDQ1729314

Donald A. Adjeroh, Binghua Jiang, Jie Lin, Yue Jiang

Publication date: 27 February 2019

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-017-0775-6

zbMATH Keywords

sequence analysiscluster analysisnonparametric statisticssimilarity analysissequence similarity measurement

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (1)

fastWKendall

Uses Software

• R

Cites Work

• Combining dissimilarity matrices by using rank correlations
• On comparing two sequences of numbers and its applications to clustering analysis
• A weighted Kendall's tau statistic
• The weighted rank correlation coefficient \(r_{W2}\) in the case of ties
• Fast algorithms for the calculation of Kendall's \(\tau\)
• A new weighted rank coefficient of concordance
• New weighted rank correlation coefficients sensitive to agreement on top and bottom rankings
• A NEW MEASURE OF RANK CORRELATION
• Measures of Association for Cross Classifications

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