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Applied Latent Class Analysis
Cambridge University Press 2002; US$ 47.00Applied Latent Class Analysis introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis have contributed essays to this volume, each presenting a key innovation to the basic LCM. more...
Applied MANOVA and Discriminant Analysis
Wiley 2006; US$ 147.00A 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 researcher... more...
Bias and Causation
Wiley 2010; US$ 115.00A 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...
Current Issues in the Theory and Application of Latent Variable Models
Taylor and Francis 2012; US$ 49.95This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data... more...
Discriminant Analysis and Statistical Pattern Recognition
Wiley 2005; US$ 162.00The 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 of statisticians, mathematicians,... more...
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
Taylor and Francis 2004; US$ 109.95This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide... more...
Handbook of Latent Variable and Related Models
Elsevier Science 2011; US$ 175.00This 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...
Innovations in Classification, Data Science, and Information Systems
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 139.99The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and relevant applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The... more...
An Introduction to Latent Variable Growth Curve Modeling
Taylor and Francis 2006; US$ 49.95This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader?s familiarity with analysis of variance... more...
Latent Class and Latent Transition Analysis
Wiley 2010; US$ 120.00A 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...









