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This comprehensive text covers the use of SAS for epidemiology and public health research. SAS is widely used in the fields of epidemiology and public... Læs mere
The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and... Læs mere
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer... Læs mere
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics.
When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic... Læs mere
Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.
John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award.
This book introduces applied wavelet analysis through the S-PLUS software system. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered.
This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R... Læs mere
After first setting up the basic tools needed for the study of queuing theory, the authors concentrate on complicated systems: multi-server systems... Læs mere
This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.