Skip to Content

Books by Subject

Statistics & Computing Books

You are currently browsing 51–60 of 167 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 6

  1. Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary...

    Published April 1st 2012 by Stata Press

  2. Multilevel and Longitudinal Modeling Using Stata, Volume I

    Continuous Responses, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a...

    Published April 1st 2012 by Stata Press

  3. Multilevel and Longitudinal Modeling Using Stata, Volume II

    Categorical Responses, Counts, and Survival, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new...

    Published April 1st 2012 by Stata Press

  4. Flexible Imputation of Missing Data

    By Stef van Buuren

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data...

    Published March 28th 2012 by Chapman and Hall/CRC

  5. R for Statistics

    By Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lober, Laurent Rouvière

    Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking...

    Published March 20th 2012 by Chapman and Hall/CRC

  6. A Visual Guide to Stata Graphics, Third Edition

    By Michael N. Mitchell

    Whether you are new to Stata graphics or a seasoned veteran, A Visual Guide to Stata Graphics, Third Edition will reach you how to use Stata to make publication-quality graphics that will stand out and enhance your statistical results. With over 900 illustrated examples and quick-reference tabs,...

    Published January 4th 2012 by Stata Press

  7. Biostatistics: A Computing Approach

    By Stewart Anderson

    Series: Chapman & Hall/CRC Biostatistics Series

    The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization...

    Published December 19th 2011 by Chapman and Hall/CRC

  8. Nonparametric Statistical Tests

    A Computational Approach

    By Markus Neuhauser

    Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical...

    Published December 18th 2011 by Chapman and Hall/CRC

  9. Statistical Computing in C++ and R

    By Randall L. Eubank, Ana Kupresanin

    Series: Chapman & Hall/CRC The R Series

    With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the...

    Published November 30th 2011 by Chapman and Hall/CRC

  10. Dynamic Prediction in Clinical Survival Analysis

    By Hans van Houwelingen, Hein Putter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to...

    Published November 8th 2011 by CRC Press

Forthcoming Books

  1. Robust Cluster Analysis and Variable Selection
    By Gunter Ritter
    To Be Published September 4th 2014
  2. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published September 22nd 2014
  3. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published October 1st 2014
  4. Advanced R
    By Hadley Wickham
    To Be Published October 6th 2014
  5. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph W. McKean
    To Be Published October 21st 2014

Find more forthcoming books