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  • Search: subject:"Uncertainty coefficient"
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Year of publication
Subject
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Cramer’s V 2 Fisher’s exact test 2 Pearson 2 Simpson’s paradox 2 Theil’s U 2 association 2 categorical data 2 causality 2 contingency coefficient 2 contingency table 2 correlation 2 determinant 2 eta 2 meta-analysis 2 nominal data 2 nominal scale 2 nonparametric methods 2 odds ratio 2 phi 2 statistical independence 2 tetrachoric correlation coefficient 2 uncertainty coefficient 2 volume ratio 2 Artificial intelligence 1 Chi-square statistics 1 Consumer behaviour 1 Corrected Contingency Coefficient 1 Economics of information 1 Frankfurt’s theory of “bullshit” 1 Information theory 1 Information value 1 Informationswert 1 Informationsökonomik 1 Konsumentenverhalten 1 Künstliche Intelligenz 1 Label importance 1 Machine learning 1 Multi-label feature selection 1 Multinomial Logit Model 1 Normalized Uncertainty Coefficient 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Thesis 1
Language
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English 3 Undetermined 2
Author
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Colignatus, Thomas 2 Klimmek, Martin 1 Klinke, s. 1 Liu, Haibo 1 Liu, Yi 1 Ma, Xi-Ao 1 Rönz, Bernd 1 Zhang, Zuopeng 1 Zhou, Yilan 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2
Published in...
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MPRA Paper 2 European journal of operational research : EJOR 1 Journal of wine economics 1
Source
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ECONIS (ZBW) 2 RePEc 2 BASE 1
Showing 1 - 5 of 5
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Multi-label feature selection considering label importance-weighted relevance and label-dependency redundancy
Ma, Xi-Ao; Liu, Haibo; Liu, Yi; Zhang, Zuopeng - In: European journal of operational research : EJOR 322 (2025) 1, pp. 215-236
Persistent link: https://www.econbiz.de/10015410210
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Correlation and regression in contingency tables. A measure of association or correlation in nominal data (contingency tables), using determinants
Colignatus, Thomas - Volkswirtschaftliche Fakultät, … - 2007
Nominal data currently lack a correlation coefficient, such as has already defined for real data. A measure is possible using the determinant, with the useful interpretation that the determinant gives the ratio between volumes. With M a m × n contingency table and n ≤ m the suggested measure...
Persistent link: https://www.econbiz.de/10005621267
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A measure of association (correlation) in nominal data (contingency tables), using determinants
Colignatus, Thomas - Volkswirtschaftliche Fakultät, … - 2007
Nominal data currently lack a correlation coefficient, such as has already defined for real data. A measure is possible using the determinant, with the useful interpretation that the determinant gives the ratio between volumes. With M a m × n contingency table and n ≤ m the suggested measure...
Persistent link: https://www.econbiz.de/10005621531
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On the information content of wine notes : some new algorithms?
Klimmek, Martin - In: Journal of wine economics 8 (2013) 3, pp. 318-334
Persistent link: https://www.econbiz.de/10010260256
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Basic Statistical Analysis and Modelling of Evaluation Data for Teaching
Zhou, Yilan - 2004
This thesis proposes a novel numerical scoring system, which efficiently evaluates the teaching effectiveness of the lecturers. Based upon the scores given in the student evaluation of teaching (SET), this numerical scoring system employes the factor score of one-factor model of data and yields...
Persistent link: https://www.econbiz.de/10009467250
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