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Books Books 1 - 10 of about 45 related to Doing Bayesian Data Analysis: A Tutorial Introduction with R.   

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan

John Kruschke - Mathematics - 2014 - 776 pages
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide ...
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Working with Dynamic Crop Models: Methods, Tools and Examples for ...

Daniel Wallach, David Makowski, James W. Jones, Francois Brun - Technology & Engineering - 2013 - 504 pages
This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with ...
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Spatial Capture-Recapture

J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, Beth Gardner - Science - 2013 - 612 pages
Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial ...
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Bayesian Modeling Using WinBUGS

Ioannis Ntzoufras - Mathematics - 2011 - 520 pages
A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS ...
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Statistics for the Behavioral Sciences

Gregory J. Privitera - Psychology - 2014 - 768 pages
Statistics for the Behavioral Sciences, Second Edition, engages students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems ...
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Learning From Data: An Introduction To Statistical Reasoning

Arthur Glenberg, Matthew Andrzejewski - Education - 2012 - 580 pages
Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better ...
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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

Bradley Efron, Trevor Hastie - Mathematics - 2016
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have ...
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Core Statistics

Simon N. Wood - Mathematics - 2015
Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models ...
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Using R for Introductory Statistics

John Verzani - Mathematics - 2004 - 432 pages
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software ...
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Bayesian Methods for Measures of Agreement

Lyle D. Broemeling - Mathematics - 2009 - 340 pages
Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and ...
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