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Statistics & Computing Books

You are currently browsing 81–90 of 168 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 9

  1. Exploratory Data Analysis with MATLAB, Second Edition

    By Wendy L. Martinez, Angel Martinez, Jeffrey Solka

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and...

    Published December 15th 2010 by CRC Press

  2. Exploratory Multivariate Analysis by Example Using R

    By Francois Husson, Sebastien Le, Jerome Pages

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are...

    Published November 14th 2010 by CRC Press

  3. Maximum Likelihood Estimation with Stata, Fourth Edition

    By William Gould, Jeffrey Pitblado, Brian Poi

    Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed...

    Published October 26th 2010 by Stata Press

  4. Simultaneous Inference in Regression

    By Wei Liu

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

    Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of...

    Published October 18th 2010 by CRC Press

  5. An Introduction to Survival Analysis Using Stata, Third Edition

    By Mario Cleves, William Gould, Roberto Gutierrez, Yulia Marchenko

    An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the...

    Published September 8th 2010 by Stata Press

  6. Using R for Data Management, Statistical Analysis, and Graphics

    By Nicholas J. Horton, Ken Kleinman

    Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate...

    Published July 27th 2010 by CRC Press

  7. Using SAS for Data Management, Statistical Analysis, and Graphics

    By Ken Kleinman, Nicholas J. Horton

    Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an...

    Published July 27th 2010 by CRC Press

  8. Multiple Comparisons Using R

    By Frank Bretz, Torsten Hothorn, Peter Westfall

    Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code...

    Published July 26th 2010 by Chapman and Hall/CRC

  9. Bayesian Ideas and Data Analysis

    An Introduction for Scientists and Statisticians

    By Ronald Christensen, Wesley Johnson, Adam Branscum, Timothy E Hanson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions,...

    Published July 1st 2010 by CRC Press

  10. Statistical Inference

    An Integrated Bayesian/Likelihood Approach

    By Murray Aitkin

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

    Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to...

    Published June 1st 2010 by Chapman and Hall/CRC

Forthcoming Books

  1. Advanced R
    By Hadley Wickham
    To Be Published October 2nd 2014
  2. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published October 9th 2014
  3. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph W. McKean
    To Be Published October 14th 2014
  4. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published October 15th 2014
  5. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures
    By Charlie Chunhua Liu
    To Be Published February 17th 2015

Find more forthcoming books