Results 11 to 20 of about 630,560 (262)
Rank–Polyserial Correlation: A Quest for a “Missing” Coefficient of Correlation
Frontiers in Applied Mathematics and Statistics, 2022 In the typology of coefficients of correlation, we seem to miss such estimators of correlation as rank–polyserial (RRPS) and rank–polychoric (RRPC) coefficients of correlation. This article discusses a set of options as RRP, including both RRPS and RRPC.
Jari Metsämuuronen, Jari Metsämuuronen
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Covariate-adjusted Spearman's Rank Correlation with Probability-scale Residuals [PDF]
Biometrics, 2018 Qi Liu, Bryan Shepherd, Chun Li
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Genetic and environmental factors that affect tick infestation in Nelore x Angus crossbreed cattle
Ciência Rural, 2021 : This study evaluated the effects of seasons and latitude on tick counting and determined the best model to estimate genetic parameters for tick count and hair coat.
Giovani Luis Feltes +6 more
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Agronomy, 2022 Methane (CH4) emissions from dairy husbandry are a hot topic in the context of active climate protection, where housing systems with slatted floors and slurry storage inside are in general expected to emit more than systems with solid floors.
Sabrina Hempel +7 more
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Using the weighted Kendall Distance to analyze rank data in psychology [PDF]
Tutorials in Quantitative Methods for Psychology, 2021 Although the Kendall distance is a standard metric in computer science, it is less widely used in psychology. We demonstrate the usefulness of the Kendall distance for analyzing psychological data that take the form of ranks, lists, or orders of items ...
van Doorn, Johnny +2 more
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Nonparametric statistics. Part 3. Correlation coefficients
Теория и практика переработки мяса, 2023 A measure of correlation or strength of association between random variables is the correlation coefficient. In scientific research, correlation analysis is most often carried out using various correlation coefficients without explaining why this ...
M. A. Nikitina, I. M. Chernukha
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Maximal Rank Correlation [PDF]
IEEE Communications Letters, 2016 Based on the notion of maximal correlation, we introduce a new measure of correlation between two different rankings of the same group of items. Our measure captures various types of correlation detected in previous measures of rank correlation like the Spearman correlation and the Kendall tau correlation.
Omid Etesami, Amin Gohari
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Comparative Economic Research, 2020 In the information age, the role of higher education as a factor of social progress is increasing. The competition among higher education institutions is also growing.
Artur Kisiołek +2 more
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METHODOLOGY FOR RAPID DETECTION OF ABNORMAL GAS SITUATIONS AT THE EXCAVATION SITES OF MINES
Вестник университета, 2020 The article is directed to the development of one of the approaches to decision-making by the personnel on the meaningful analysis and interpretation of emergency situations in mine workings.
V. V. Kupriyanov
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On rank correlation and the distance between rankings [PDF]
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009 Rank correlation statistics are useful for determining whether a there is a correspondence between two measurements, particularly when the measures themselves are of less interest than their relative ordering. Kendall's - in particular has found use in Information Retrieval as a "meta-evaluation" measure: it has been used to compare evaluation measures,
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