Browse Textbooks in Statistical Theory & Methods

Statistical Theory & Methods

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Viewing: 1 - 10 of 80
Published:
April 25, 2013
Author(s):
Felix Abramovich; Ya'acov Ritov
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, 
  Hardback
$69.95
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Published:
April 09, 2013
Author(s):
Peter Westfall; Kevin S. S. Henning
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum 
  Hardback
$79.95
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Published:
November 27, 2012
Author(s):
Werner Vach
While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression 
  Hardback
$89.95
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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:
October 01, 2012
Author(s):
Georg Lindgren
Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for 
  Hardback
$89.95
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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 
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$89.95
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Published:
June 04, 2012
Author(s):
Wan Tang; Hua He; Xin Tu
Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach 
  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 
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$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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