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Statistics & Computing Books

You are currently browsing 61–70 of 171 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 7

  1. 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 5th 2012 by Stata Press

  2. 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 20th 2011 by Chapman and Hall/CRC

  3. 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 19th 2011 by Chapman and Hall/CRC

  4. 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 December 1st 2011 by Chapman and Hall/CRC

  5. 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 9th 2011 by CRC Press

  6. An R Companion to Linear Statistical Models

    By Christopher Hay-Jahans

    Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on...

    Published October 19th 2011 by Chapman and Hall/CRC

  7. Analysis of Questionnaire Data with R

    By Bruno Falissard

    While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the...

    Published September 21st 2011 by Chapman and Hall/CRC

  8. The R Primer

    By Claus Thorn Ekstrom

    Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered...

    Published August 29th 2011 by Chapman and Hall/CRC

  9. Bayesian Analysis Made Simple

    An Excel GUI for WinBUGS

    By Phil Woodward

    Series: Chapman & Hall/CRC Biostatistics Series

    Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but...

    Published August 26th 2011 by Chapman and Hall/CRC

  10. IBM SPSS Statistics 19 Made Simple

    By Colin D. Gray, Paul R. Kinnear

    This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There...

    Published August 16th 2011 by Psychology Press