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Statistics & Computing Books

You are currently browsing 51–60 of 164 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.

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New and Published Books – Page 6

  1. 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

  2. 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

  3. 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 18th 2011 by Chapman and Hall/CRC

  4. 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 20th 2011 by Chapman and Hall/CRC

  5. 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 28th 2011 by Chapman and Hall/CRC

  6. 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 25th 2011 by Chapman and Hall/CRC

  7. 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 15th 2011 by Psychology Press

  8. Flexible Parametric Survival Analysis Using Stata

    Beyond the Cox Model

    By Patrick Royston, Paul C. Lambert

    Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular...

    Published August 3rd 2011 by Stata Press

  9. Statistical Thinking in Epidemiology

    By Yu-Kang Tu, Mark S. Gilthorpe

    While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology...

    Published July 26th 2011 by Chapman and Hall/CRC

  10. Statistical Inference

    The Minimum Distance Approach

    By Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park

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

    In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is...

    Published June 21st 2011 by Chapman and Hall/CRC