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>20% discount on four new R books from Chapman & Hall/CRC
>
>Chapman and Hall/CRC is pleased to announce the publication of four new
>books on R, all available through our website at 20% discount to members
>of the RSS and allstat. To take advantage of this offer, simply visit
>http://www.crcpress.com/, choose your titles, and insert the online
>discount code - HUC88RSS5 - in the 'Promotion Code' field at checkout.
>Please note that RSS and allstat members can use this code at all times to
>receive a 20% discount on all of our statistics books.
>
>** NEW TITLES! **
>
>A Handbook of Statistical Analyses using R Brian S. Everitt and Torsten
>Hothorn
>
>With emphasis on the use of R and the interpretation of results rather
>than the theory behind the methods, this book addresses particular
>statistical techniques and demonstrates how they can be applied to one or
>more data sets using R. The authors provide a concise introduction to R,
>including a summary of its most important features. They cover a variety
>of topics, such as simple inference, generalized linear models, multilevel
>models, longitudinal data, cluster analysis, principal components
>analysis, and discriminant analysis. With numerous figures and exercises,
>A Handbook of Statistical Analysis using R provides useful information for
>students as well as statisticians and data analysts. All datasets and code
>used in the book are available as a downloadable package from CRAN.
>
>Discounted Price: $39.96/£23.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C5394&parent_id=&pc=
>
>***
>
>Generalized Additive Models: An Introduction with R Simon N. Wood
>
>This book aims to provide readers with a thorough understanding of the
>theory and practical applications of GAMs, to enable informed use of these
>very flexible tools and related advanced models. The author's approach is
>based on a framework of penalized regression splines, and he provides a
>well grounded introduction through motivating chapters on linear and
>generalized linear models, as well as covering more advanced extensions
>via a final chapter on mixed models, including GAMMs. The author uses the
>R software throughout to explain the underlying theory and illustrate the
>practicalities of linear, generalized linear and generalized additive
>models, as well as their mixed effect extensions. Background theory on
>likelihood, matrix algebra and the geometry of model estimation is also
>provided, so that the book is reasonably self contained. Each chapter has
>exercises for which complete solutions are provided in an appendix. An R
>package containing the featured datasets is also freely available through CRAN.
>
>Discounted Price: $63.96/£31.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4746&parent_id=&pc=
>
>***
>
>Extending the Linear Model with R: Generalized Linear, Mixed Effects and
>Nonparametric Regression Models Julian J. Faraway
>
>This book surveys the techniques that grow from the regression model,
>presenting three extensions to that framework: generalized linear models
>(GLMs), mixed effect models, and nonparametric regression models. The
>author's treatment is thoroughly modern and covers topics that include GLM
>diagnostics, generalized linear mixed models, trees, and even the use of
>neural networks in statistics. To demonstrate the interplay of theory and
>practice, throughout the book the author weaves the use of the R software
>environment to analyze the data of real examples, providing all of the R
>commands necessary to reproduce the analyses.
>
>Discounted Price: $63.96/£31.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C424X&parent_id=&pc=
>
>***
>
>Robust Statistical Methods with R
>Jana Jureckova and Jan Picek
>
>This book provides a systematic treatment of robust procedures with an
>emphasis on practical application. The authors work from underlying
>mathematical tools to implementation, paying special attention to the
>computational aspects. They cover the whole range of robust methods,
>including differentiable statistical functions, distance of measures,
>influence functions, and asymptotic distributions, in a rigorous yet
>approachable manner. Highlighting hands-on problem solving, many examples
>and computational algorithms using the R software supplement the
>discussion. The book examines the characteristics of robustness,
>estimators of real parameter, large sample properties, and goodness-of-fit
>tests. It also includes a brief overview of R in an appendix for those
>with little experience using the software.
>
>Discounted Price: $63.96/£35.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4541&parent_id=&pc=
>
>** OTHER TITLES! **
>
>R Graphics
>Paul Murrell
>
>A description of the core graphics features of R including: a brief
>introduction to R; an introduction to general R graphics features. The
>base graphics system of R: traditional S graphics. The power and
>flexibility of grid graphics. Building on top of the base or grid
>graphics: Trellis graphics and developing new graphics functions.
>
>Discounted Price: $55.96/£31.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C486X&parent_id=&pc
>
>***
>
>Using R for Introductory Statistics
>John Verzani
>
>This book fills a gap as a true introduction to statistics using R. With
>emphasis on data analysis and practical examples, it encourages
>understanding rather than focusing on learning the underlying theory. It
>includes a large collection of exercises and numerous practical examples
>from a broad range of scientific disciplines. It comes complete with an
>online resource containing datasets, R functions, selected solutions to
>exercises, and updates to the latest features. A full solutions manual is
>available from Chapman & Hall/CRC.
>
>Discounted Price: $35.96/£19.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4509&parent_id=&pc
>
>***
>
>Linear Models with R
>Julian J. Faraway
>
>Focussed on the practice of regression and analysis of variance, this book
>clearly demonstrates the different methods available and in which
>situations each one applies. It covers all of the standard topics, from
>the basics of estimation to missing data, factorial designs, and block
>designs, but it also includes discussion of topics, such as model
>uncertainty, rarely addressed in books of this type. The presentation
>incorporates an abundance of examples that clarify both the use of each
>technique and the conclusions one can draw from the results.
>
>Discounted Price: $55.96/£31.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4258&parent_id=&pc
>
>***
>
>Correspondence Analysis and Data Coding with Java and R Fionn Murtagh
>
>Provides an introduction to methods and applications of correspondence
>analysis, with an emphasis on data coding - the first step in
>correspondence analysis. It features a practical presentation of the
>theory with a range of applications from data mining, financial
>engineering, and the biosciences. Implementation of the methods is
>presented using Java and R software.
>
>Discounted Price: $63.96/£35.99
>
>For more details and to order:
>http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C5289&parent_id=&pc
>
>** CALL FOR AUTHORS **
>
>If you are working on a manuscript or have an idea for a book, and are
>interested in publishing with Chapman & Hall/CRC, we would be delighted to
>hear from you. Please do not hesitate to contact us if you would like to
>discuss publishing, or have any questions about any of our titles.
>
>Rob Calver
>Acquisitions Editor, Statistics
>Chapman & Hall/CRC
>Taylor & Francis Group
>Informa
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