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Statistics & Computing Books

You are currently browsing 41–50 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 5

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Multivariate Survival Analysis and Competing Risks

    By Martin J. Crowder

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions...

    Published April 16th 2012 by Chapman and Hall/CRC

  9. Event History Analysis with R

    By Göran Broström

    Series: Chapman & Hall/CRC The R Series

    With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,...

    Published April 2nd 2012 by CRC Press

  10. Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition

    By Sophia Rabe-Hesketh, Anders Skrondal

    This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary...

    Published April 1st 2012 by Stata Press