Treffer: PLS path modeling
Title:
PLS path modeling
Source:
Partial least squaresComputational statistics & data analysis. 48(1):159-205
Publisher Information:
Amsterdam: Elsevier Science, 2005.
Publication Year:
2005
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Analyse multivariable, Multivariate analysis, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Probabilités et statistiques numériques, Numerical methods in probability and statistics, Analyse donnée, Data analysis, Análisis datos, Calcul statistique, Statistical computation, Cálculo estadístico, Fonction vraisemblance, Likelihood function, Función verosimilitud, Maximum vraisemblance, Maximum likelihood, Maxima verosimilitud, Méthode moindre carré, Least squares method, Método cuadrado menor, Algorithme PLS, PLS algorithm
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
HEC School of Management (GREGHEC), Jouy-en-Josas, France
Department of Mathematics and Statistics, University of Naples Federico II, Via Cintia-Complesso di Monte S. Angelo, 80126 Naples, Italy
Institut de l'Elevage, Paris, France
Department of Mathematics and Statistics, University of Naples Federico II, Via Cintia-Complesso di Monte S. Angelo, 80126 Naples, Italy
Institut de l'Elevage, Paris, France
ISSN:
0167-9473
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.16461613
Database:
PASCAL Archive
Weitere Informationen
A presentation of the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) is given together with a discussion of its extensions. This approach is compared with the estimation of Structural Equation Modeling by means of maximum likelihood (SEM-ML). Notwithstanding, this approach still shows some weaknesses. In this respect, some new improvements are proposed. Furthermore, PLS path modeling can be used for analyzing multiple tables so as to be related to more classical data analysis methods used in this field. Finally, a complete treatment of a real example is shown through the available software.