Total Least Squares And Errorsinvariables Modeling

Editors: Abdi, H., Esposito Vinzi, V., Russolillo, G., Saporta, G., Trinchera, L. (Eds.)
Integrates theoretical and methodological advances from recognized leaders in the field, including the conference's invited speakers
Important applications in domains such as genomics, brain imaging, sensory analysis, marketing, psychometrics and information systems
Covers PLS regression, PLS path modeling and developments that go beyond PLS specific methods, extending to other component-based and multi-block or multi-way methods

This book is intended primarily as a handbook for engineers who must design practical systems.
Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the “best” model are also presented.

This book is intended primarily as a handbook for engineers who must design practical systems.
Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the “best” model are also presented.

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs.