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Statistics & Computing Books

You are currently browsing 61–70 of 165 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. 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

  2. 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

  3. 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

  4. 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

  5. Smoothing Splines

    Methods and Applications

    By Yuedong Wang

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

    A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline...

    Published June 21st 2011 by Chapman and Hall/CRC

  6. R Graphics, Second Edition

    By Paul Murrell

    Series: Chapman & Hall/CRC The R Series

    Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte...

    Published June 1st 2011 by CRC Press

  7. Optimal Experimental Design with R

    By Dieter Rasch, Jurgen Pilz, L.R. Verdooren, Albrecht Gebhardt

    Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary...

    Published May 17th 2011 by Chapman and Hall/CRC

  8. Handbook of Markov Chain Monte Carlo

    Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

    Published May 9th 2011 by Chapman and Hall/CRC

  9. Practical Statistical Methods

    A SAS Programming Approach

    By Lakshmi Padgett

    Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and...

    Published April 24th 2011 by CRC Press

  10. Multivariate Generalized Linear Mixed Models Using R

    By Damon M. Berridge, Robert Crouchley

    Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and...

    Published April 24th 2011 by CRC Press