A Component-based Approach to Structural Equation Modeling
This book introduces the authors’ new component-based approach to structural equation modeling (SEM): generalized structured component analysis (GSCA). The text explains the advantages and limitations of GSCA compared to traditional SEM approaches. It also discusses the relationships between GSCA...
To Be Published November 14th 2014 by Chapman and Hall/CRC
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...
Published October 23rd 2013 by Chapman and Hall/CRC