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Most popular at the top
- Taylor and Francis 2012; US$ 164.95
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has... more...
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 279.00
Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. more...
- Wiley 2006; US$ 152.00
The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by... more...
- Taylor and Francis 2010; US$ 119.95
Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sampled... more...
- Taylor and Francis 2012; 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...
- Cambridge University Press 2006; US$ 34.00
Focuses on a few of the important clustering algorithms in the context of information retrieval. 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...
- 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...
- 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...
- 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...