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- Taylor and Francis 2006; US$ 119.95
It?s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and extensively... more...
- Wiley 2006; US$ 152.00
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$ 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...
- Wiley 2007; US$ 141.00
***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity... more...
- Springer-Verlag New York Inc 2006; US$ 79.95
S+Functional Data Analysis is a commercial object oriented package for exploring, modeling, and analyzing functional data. This book is a companion to two other books: "Functional Data Analysis, Second Edition" (2005) and "Applied Functional Data Analysis" (2002). It provides the documentation for the S+FDA library for S-Plus. more...
- Springer-Verlag New York Inc 2006; US$ 179.00
Provides an introduction to the subject of environmental space-time processes, addressing the role of uncertainty. Within that context, this book covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It is suitable for statistical scientists, consultants, subject area researchers, and others. more...
- Springer 2006; US$ 99.00
Most data sets collected by researchers are multivariate, and in most cases, the variables need to be examined simultaneously to get the most informative results. This book covers the core multivariate methodology along with some basic theory for each method described. It also provides the necessary R and S-PLUS code for each analysis. more...
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 179.00
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 2007; US$ 155.00
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and... more...
- World Scientific Publishing Company 2007; US$ 236.00
This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and serves as an easily accessible source for researchers in the area. With the exception of some sections requiring familiarity with measure theory, readers with an advanced calculus background will be comfortable with... more...