The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, Sony Reader...
New to eBooks.com?Learn more
- Bestsellers - This Week
- Foreign Language Study
- Bestsellers - Last 6 months
- Graphic Books
- Health & Fitness
- Political Science
- Biography & Autobiography
- Psychology & Psychiatry
- Body Mind & Spirit
- House & Home
- Business & Economics
- Children's & Young Adult Fiction
- Juvenile Nonfiction
- Language Arts & Disciplines
- Crafts & Hobbies
- Science Fiction
- Current Events
- Literary Collections
- Literary Criticism
- Literary Fiction
- Social Science
- The Environment
- Sports & Recreation
- Family & Relationships
- Study Aids
- Folklore & Mythology
- Food and Wine
- Performing Arts
- True Crime
- Foreign Language Books
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 139.00
The 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...
- 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...
- Wiley 2006; US$ 143.00
An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and... more...
- Wiley 2013; US$ 120.00
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...
- Taylor and Francis 2013; US$ 49.95
This 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...
- Taylor and Francis 2012; US$ 49.95
This 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...
- Wiley 2006; US$ 147.00
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 researcher... more...
- Elsevier Science 2011; US$ 175.00
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...
- Taylor and Francis 2013; US$ 59.95
This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use... more...