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- Wiley 2013; US$ 135.00
Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." — Statistics in Medicine "It is a total delight reading this book." — Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference." — Technometrics... more...
- Taylor and Francis 2013; US$ 59.95
This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows... more...
- Wiley 2003; US$ 179.00
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually.... more...
- Taylor and Francis 2004; US$ 109.95
This 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...
- Chapman & Hall/CRC 2004; US$ 89.95
Spatial statistics -- one of the fastest growing areas of statistics -- has applications across a wide range of disciplines. Statistical Methods for Spatial Data Analysis takes a model-based approach and covers the theory and applications of all three major types of spatial data: geostatistical, lattice, and point pattern. The book is rich in applications... more...
- Taylor and Francis 2004; US$ 79.95
Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and... more...
- Taylor and Francis 2003; US$ 99.95
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,... more...
- Wiley 2004; US$ 168.00
A completely revised and expanded edition of a classic resource In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja... more...
- Marcel Dekker Inc 2003; US$ 99.95
The second edition of this text adds topics in properties and characterization of symmetric distribution, elliptically symmetric multivariate distributions, singular symmetric distributions, estimation of covariance matrices, tests of mean against one-sided alternatives and more. more...
- Cambridge University Press 2003; US$ 47.00
Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical... more...