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Factor analysis

Most popular at the top

  • Correspondence Analysisby Eric J. Beh; Rosaria Lombardo

    Wiley 2014; US$ 107.50

    A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years. The main focus of this book is to provide a comprehensive discussion of some... more...

  • A User's Guide to Principal Componentsby J. Edward Jackson

    Wiley 2005; US$ 208.00

    WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations... more...

  • Correspondence Analysis in Practice, Second Editionby Michael Greenacre

    Taylor and Francis 2007; US$ 99.95

    Drawing on the author's experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date edition features a didactic approach with self-contained... more...

  • Statistical Factor Analysis and Related Methodsby Alexander T. Basilevsky

    Wiley 2009; US$ 150.00

    Statistical Factor Analysis and Related Methods Theory and Applications In bridging the gap between the mathematical and statistical theory of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models. It focuses on such areas as: * The classical principal components... more...

  • Factor Analysisby Richard L. Gorsuch

    Taylor and Francis 2013; US$ 90.00

    Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. more...

  • Constrained Principal Component Analysis and Related Techniquesby Yoshio Takane

    Taylor and Francis 2013; US$ 89.95

    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? Why and when is it a good idea to... more...

  • Elements of Dual Scalingby Shizuhiko Nishisato

    Taylor and Francis 2014; US$ 120.00

    Quantification methodology of categorical data is a popular topic in many branches of science. Most books, however, are either too advanced for those who need it, or too elementary to gain insight into its potential. This book fills the gap between these extremes, and provides specialists with an easy and comprehensive reference, and others with a... more...

  • Factor Analysisby Edward E. Cureton; Ralph B. D'Agostino

    Taylor and Francis 2013; US$ 78.95

    First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company. more...

  • Multiple Correspondence Analysis and Related Methodsby Jorg Blasius

    Taylor and Francis 2006; US$ 146.95

    As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the subject... more...

  • Principal Manifolds for Data Visualization and Dimension Reductionby A.N. Gorban; Balazs Kegl; D.C. Wunsch; Andrey Zinovyev

    Springer 2007; US$ 189.00

    In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps (SOM), etc. The book starts with the quote of the classical... more...