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Latent variables

Most popular at the top

  • Latent Curve Modelsby Kenneth A. Bollen; Patrick J. Curran

    Wiley 2006; US$ 153.00

    KENNETH A. BOLLEN , PhD, is Henry Rudolph Immerwahr Distinguished Professor of Sociology, Director of the Odum Institute for Research in Social Science, and an Adjunct Professor of Statistics at The University of North Carolina at Chapel Hill. He is the author of two books, including Structural Equations with Latent Variables (Wiley), and more than... more...

  • Handbook of Latent Variable and Related Modelsby Sik-Yum Lee

    Elsevier Science 2011; US$ 180.00

    This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples... more...

  • Applied MANOVA and Discriminant Analysisby Carl J. Huberty; Stephen Olejnik

    Wiley 2006; US$ 157.00

    A complete introduction to discriminant analysis--extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discriminant Analysis , reflects and references current usage with its new title, Applied MANOVA and Discriminant Analysis . Thoroughly updated and revised, this book continues to be essential for any... more...

  • Latent Class and Latent Transition Analysisby Linda M. Collins; Stephanie T. Lanza

    Wiley 2013; US$ 128.00

    A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful... more...

  • Bias and Causationby Herbert I. Weisberg

    Wiley 2011; US$ 123.00

    A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers... more...

  • Latent Variable Models and Factor Analysisby David J. Bartholomew; Martin Knott; Irini Moustaki

    Wiley 2011; US$ 90.00

    Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable... more...

  • Random Effect and Latent Variable Model Selectionby

    Springer New York 2010; US$ 149.00

    This book presents state of the art methods for accommodating model uncertainty in random effects and latent variable models. It is divided into four sections featuring articles by experts in the various areas of model uncertainty in latent variable models. more...

  • Discriminant Analysis and Applicationsby T. Cacoullos

    Elsevier Science 2014; US$ 72.95

    Discriminant Analysis and Applications comprises the proceedings of the NATO Advanced Study Institute on Discriminant Analysis and Applications held in Kifissia, Athens, Greece in June 1972. The book presents the theory and applications of Discriminant analysis, one of the most important areas of multivariate statistical analysis. This volume contains... more...

  • Applied Latent Class Analysisby Jacques A. Hagenaars; Allan L. McCutcheon

    Cambridge University Press 2002; US$ 52.00

    Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. more...

  • Discriminant Analysis and Statistical Pattern Recognitionby Geoffrey McLachlan

    Wiley 2005; US$ 162.00

    Geoffrey J. McLachlan , PhD, is Professor of Mathematics at the University of Queensland, Australia. He is the author, with David Peel, of Finite Mixture Models (Wiley) and, with Thriyambakam Krishnan, of The EM Algorithm and Extensions (Wiley), among others. more...