Buch, Englisch, 798 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1367 g
Concepts, Methods and Applications
Buch, Englisch, 798 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 1367 g
Reihe: Springer Handbooks of Computational Statistics
ISBN: 978-3-540-32825-4
Verlag: Springer Berlin Heidelberg
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Editorial: Perspectives on Partial Least Squares.- METHODS.- Latent Variables and Indices: Herman Wold#x2019;s Basic Design and Partial Least Squares.- PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement.- Bootstrap Cross-Validation Indices for PLS Path Model Assessment.- A Bridge Between PLS Path Modeling and Multi-Block Data Analysis.- Use of ULS-SEM and PLS-SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables.- A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism.- An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA.- Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples.- Prediction Oriented Classification in PLS Path Modeling.- Conjoint Use of Variables Clustering and PLS Structural Equations Modeling.- Design of PLS-Based Satisfaction Studies.- A Case Study of a Customer Satisfaction Problem: Bootstrap and Imputation Techniques.- Comparison of Likelihood and PLS Estimators for Structural Equation Modeling: A Simulation with Customer Satisfaction Data.- Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares.- PLS in Data Mining and Data Integration.- Three-Block Data Modeling by Endo- and Exo-LPLS Regression.- Regression Modelling Analysis on Compositional Data.- APPLICATIONS TO MARKETING AND RELATED AREAS.- PLS and Success Factor Studies in Marketing.- Applying Maximum Likelihood and PLS on Different Sample Sizes: Studieson SERVQUAL Model and Employee Behavior Model.- A PLS Model to Study Brand Preference: An Application to the Mobile Phone Market.- An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry.- Modeling the Impact of Corporate Reputation on Customer Satisfaction and Loyalty Using Partial Least Squares.- Reframing Customer Value in a Service-Based Paradigm: An Evaluation of a Formative Measure in a Multi-industry, Cross-cultural Context.- Analyzing Factorial Data Using PLS: Application in an Online Complaining Context.- Application of PLS in Marketing: Content Strategies on the Internet.- Use of Partial Least Squares (PLS) in TQM Research: TQM Practices and Business Performance in SMEs.- Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs.- TUTORIALS.- How to Write Up and Report PLS Analyses.- Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach.- Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures.- A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance.- to SIMCA-P and Its Application.- Interpretation of the Preferences of Automotive Customers Applied to Air Conditioning Supports by Combining GPA and PLS Regression.