Yoshio Takane – författare
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11 produkter
Constrained Principal Component Analysis and Related Techniques
Häftad, 2020
791 kr
Lägg i varukorg
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? …
Generalized Structured Component Analysis
A Component-Based Approach to Structural Equation Modeling
Av Heungsun Hwang, Yoshio Takane
Häftad, 2020
791 kr
Lägg i varukorg
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least …
Constrained Principal Component Analysis and Related Techniques
E-bok, 2016
915 kr
Lägg i varukorg
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? …
Generalized Structured Component Analysis
A Component-Based Approach to Structural Equation Modeling
Av Heungsun Hwang, Yoshio Takane
E-bok, 2014
935 kr
Lägg i varukorg
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least …
Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
Av Haruo Yanai, Kei Takeuchi m. fl.
Inbunden, 2011
1095 kr
Lägg i varukorg
Aside from distribution theory, projections and the singular value decomposition (SVD) are the two most important concepts for understanding the basic mechanism of multivariate analysis. The former underlies the least squares estimation in regression analysis, which is essentially a projection of …
Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
Av Yoshio Takane, Kei Takeuchi m. fl.
E-bok, 2011
1214 kr
Lägg i varukorg
Aside from distribution theory, projections and the singular value decomposition (SVD) are the two most important concepts for understanding the basic mechanism of multivariate analysis. The former underlies the least squares estimation in regression analysis, which is essentially a projection of …
Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
Av Haruo Yanai, Kei Takeuchi m. fl.
Häftad, 2013
932 kr
Lägg i varukorg
Aside from distribution theory, projections and the singular value decomposition (SVD) are the two most important concepts for understanding the basic mechanism of multivariate analysis. The former underlies the least squares estimation in regression analysis, which is essentially a projection of …
Constrained Principal Component Analysis and Related Techniques
Inbunden, 2013
1517 kr
Lägg i varukorg
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? …
Constrained Principal Component Analysis and Related Techniques
E-bok, 2016
935 kr
Lägg i varukorg
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? …
Generalized Structured Component Analysis
A Component-Based Approach to Structural Equation Modeling
Av Heungsun Hwang, Yoshio Takane
Inbunden, 2014
1821 kr
Lägg i varukorg
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least …
Generalized Structured Component Analysis
A Component-Based Approach to Structural Equation Modeling
Av Heungsun Hwang, Yoshio Takane
E-bok, 2014
935 kr
Lägg i varukorg
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least …