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Statistics & Computing Books

You are currently browsing 41–50 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 5

  1. Clustering

    A Data Recovery Approach, Second Edition

    By Boris Mirkin

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

    Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical...

    Published October 16th 2012 by Chapman and Hall/CRC

  2. A Level of Martin-Lof Randomness

    By Bradley S. Tice

    This work addresses the notion of compression ratios greater than what has been known for random sequential strings in binary and larger radix-based systems as applied to those traditionally found in Kolmogorov complexity. A culmination of the author’s decade-long research that began with his...

    Published October 8th 2012 by CRC Press

  3. The BUGS Book

    A Practical Introduction to Bayesian Analysis

    By David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical...

    Published October 1st 2012 by Chapman and Hall/CRC

  4. Applied Medical Statistics Using SAS

    By Geoff Der, Brian S. Everitt

    Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including...

    Published September 30th 2012 by Chapman and Hall/CRC

  5. Generalized Linear Mixed Models

    Modern Concepts, Methods and Applications

    By Walter W. Stroup

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how...

    Published September 23rd 2012 by CRC Press

  6. The R Student Companion

    By Brian Dennis

    R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific...

    Published September 23rd 2012 by Chapman and Hall/CRC

  7. Data Analysis Using Stata, Third Edition

    By Ulrich Kohler, Frauke Kreuter

    Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource...

    Published August 19th 2012 by Stata Press

  8. Programming Graphical User Interfaces in R

    By Michael Lawrence, John Verzani

    Series: Chapman & Hall/CRC The R Series

    Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics...

    Published June 7th 2012 by Chapman and Hall/CRC

  9. Generalized Linear Models and Extensions, Third Edition

    By James W. Hardin, Joseph M. Hilbe

    This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models...

    Published June 3rd 2012 by Stata Press

  10. Interpreting and Visualizing Regression Models Using Stata

    By Michael N. Mitchell

    Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless...

    Published April 18th 2012 by Stata Press

Forthcoming Books

  1. Advanced R
    By Hadley Wickham
    To Be Published October 2nd 2014
  2. Nonparametric Statistical Methods Using R
    By John Kloke, Joseph W. McKean
    To Be Published October 14th 2014
  3. Analyzing Sensory Data with R
    By Sebastien Le, Thierry Worch
    To Be Published October 15th 2014
  4. Multiple Factor Analysis by Example Using R
    By Jérôme Pagès
    To Be Published October 20th 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