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  • Search: subject:"concomitance"
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Year of publication
Subject
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concomitance 2 random matrix theory 2 Bewertung 1 Covariance Matrix 1 Covariance matrix 1 Evaluation 1 Index 1 Index number 1 L-correlation 1 L-variance-covariance 1 Lcorrelation 1 Lvariance-covariance 1 Measurement 1 Messung 1 Ontologie 1 Ontology 1 Performance measurement 1 Performance-Messung 1 Personalauswahl 1 Personnel selection 1 construct validity 1 content validity 1 convergent validity 1 discriminant validity 1 formative indicators 1 level of concomitance 1 multidimensional constructs 1 reflective indicators 1 reliability 1 scope validity 1 unidimensional constructs 1
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Online availability
All
Free 3
Type of publication
All
Book / Working Paper 2 Article 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 2 Undetermined 1
Author
All
Yanou, Ghislain 2 Weber, Ron 1
Institution
All
Centre d'Économie de la Sorbonne, Université Paris 1 (Panthéon-Sorbonne) 1 HAL 1
Published in...
All
Documents de travail du Centre d'Economie de la Sorbonne 1 MIS quarterly 1 Post-Print / HAL 1
Source
All
RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Constructs and indicators : an ontological analysis
Weber, Ron - In: MIS quarterly 45 (2021) 4, pp. 1644-1678
Persistent link: https://www.econbiz.de/10012814918
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Cover Image
Extension of Random Matrix Theory to the L-moments for Robust Portfolio Allocation
Yanou, Ghislain - HAL - 2008
In this paper, we propose a methodology for building an estimator of the covariance matrix. We use a robust measure of moments called L-moments (see hosking, 1986), and their extension into a multivariate framework (see Serfling and Xiao, 2007). Random matrix theory (see Edelman, 1989) allows us...
Persistent link: https://www.econbiz.de/10010738526
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Cover Image
Extension of random matrix theory to the L-moments for robust portfolio allocation.
Yanou, Ghislain - Centre d'Économie de la Sorbonne, Université Paris 1 … - 2008
In this paper, we propose a methodology for building an estimator of the covariance matrix. We use a robust measure of moments called L-moments (see hosking, 1986), and their extension into a multivariate framework (see Serfling and Xiao, 2007). Random matrix theory (see Edelman, 1989) allows us...
Persistent link: https://www.econbiz.de/10004988958
Saved in:
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