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#SBIB:303H520 --- dataverwerking --- waarschijnlijkheidsleer --- wiskundige functies --- wiskundige statistiek --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Latent structure analysis --- Latent variables --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Multivariate analysis --- Variables (Mathematics) --- Correlation (Statistics)

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The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.

Quantitative methods in social research --- Mathematical statistics --- Least squares --- Regression analysis --- Structural equation modeling --- Path analysis (Statistics) --- Latent variables --- Marketing --- Moindres carrés --- Analyse de régression --- Variables latentes --- Data processing --- Statistical methods --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- 519.2 --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Analysis, Path (Statistics) --- Path analysis --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Latent structure analysis --- Variables (Mathematics) --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics

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This book constitutes the proceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010, held in St. Malo, France, in September 2010. The 25 papers presented were carefully reviewed and selected from over hundred submissions. The papers collected in this volume demonstrate that the research activity in the field continues to gather theoreticians and practitioners, with contributions ranging range from abstract concepts to the most concrete and applicable questions and considerations. Speech and audio, as well as biomedical applications, continue to carry the mass of the considered applications. Unsurprisingly the concepts of sparsity and non-negativity, as well as tensor decompositions, have become predominant, reflecting the strong activity on these themes in signal and image processing at large.

Signal processing --- Neural networks (Computer science) --- Electronic noise --- Multivariate analysis --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Telecommunications --- Digital techniques --- Latent variables --- Latent structure analysis --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Computer science. --- Special purpose computers. --- Algorithms. --- Computer science --- Computer simulation. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Simulation and Modeling. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Special Purpose and Application-Based Systems. --- Mathematics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Algebra --- Arithmetic --- Special purpose computers --- Computers --- Informatics --- Science --- Mathematics --- Foundations --- Correlation (Statistics) --- Variables (Mathematics) --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Computational complexity. --- Software engineering. --- Computer software engineering --- Engineering --- Complexity, Computational --- Machine theory --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Computer science—Mathematics. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Optical equipment --- Pattern recognition systems. --- Discrete mathematics. --- Computers, Special purpose. --- Automated Pattern Recognition. --- Computer Vision. --- Computer Modelling. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Pattern classification systems --- Pattern recognition computers --- Computer vision