Browse Textbooks in Computational Statistics

Computational Statistics

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Viewing: 1 - 10 of 30
Published:
October 02, 2012
Author(s):
David Lunn; Chris Jackson; Nicky Best; Andrew Thomas; David Spiegelhalter
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 
  Paperback
$49.95
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Published:
September 24, 2012
Author(s):
Walter W. Stroup
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 
  Hardback
$89.95
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Published:
March 21, 2012
Author(s):
Pierre-Andre Cornillon; Arnaud Guyader; Francois Husson; Nicolas Jegou; Julie Josse; Maela Kloareg; Eric Matzner-Lober; Laurent Rouvière
Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking 
  Paperback
$59.95
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Published:
December 20, 2011
Author(s):
Stewart Anderson
The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization 
  Hardback
$83.95
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Published:
December 01, 2011
Author(s):
Randall L. Eubank; Ana Kupresanin
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 
  Hardback
$89.95
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Published:
January 07, 2011
Author(s):
Alan M. Polansky
Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common 
  Hardback
$93.95
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Published:
July 02, 2010
Author(s):
Ronald Christensen; Wesley O. Johnson; Adam J. Branscum; Timothy E. Hanson
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, 
  Hardback
$72.95
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Published:
May 21, 2010
Author(s):
Raquel Prado; Mike West
Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It 
  Hardback
$99.95
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Published:
April 26, 2010
Author(s):
Kevin J Keen
Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools 
  Hardback
$76.95
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Published:
September 28, 2009
Author(s):
Brian S. Everitt
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers 
  Paperback
$79.95
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