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Advances in Latent Variable Mixture Models

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR;

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Advances in Latent Variable Mixture Models

The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR;

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Generalized Latent Variable Modeling

This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models;

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Advances in Latent Class Analysis

What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Current Topics in the Theory and Application of Latent Variable Models

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent;

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Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling;

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Latent Variable Modeling with R

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized;

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Latent Variable Modeling with R

This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Handbook of Latent Variable and Related Models

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships;

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Latent Variable and Latent Structure Models

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights;

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Latent Variable and Latent Structure Models

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights;

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An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Application, Second Edition

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents;

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An Introduction to Latent Variable Growth Curve Modeling

This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents;

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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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Advances in Latent Variables

Conference Advances in Latent Variables. Methods, Models and Applications , held at the Department of Economics and Management of the University;

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Mixture Models and Applications

This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent;

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Statistics In The Social Sciences

Fashioned after the 2006 Winemiller Symposium on Recent Advances in Social Science Statistics, and bringing together top researchers from;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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New Developments and Techniques in Structural Equation Modeling

proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel;

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New Developments and Techniques in Structural Equation Modeling

proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel;

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Confirmatory Factor Analysi For Aplie Re

using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and;

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Optimal Mixture Experiments

The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special;...

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Bayesian Econometric Methods

and hierarchical specifications, models based upon latent variable representations, and mixture and time series specifications. MCMC methods;

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