The Resource Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
Resource Information
The item Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian modelfitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output.  P.4 of cover
 Language
 eng
 Extent
 xiv, 232 pages
 Contents

 1. What is Bayesian statistics?
 2. Review of probability
 3. Introduction to oneparameter models : estimating a population proportion
 4. Inference for a population proportion
 5. Special considerations in Bayesian inference
 6. Other oneparameter models and their conjugate priors
 7. More realism please : introduction to multiparameter models
 8. Fitting more complex Bayesian models : Markov chain Monte Carlo
 9. Hierarchical models and more on convergence assessment
 10. Regression on hierarchical regression models
 11. Model comparison, model checking, and hypothesis testing
 Isbn
 9781461456957
 Label
 Applied Bayesian statistics : with R and OpenBUGS examples
 Title
 Applied Bayesian statistics
 Title remainder
 with R and OpenBUGS examples
 Statement of responsibility
 Mary Kathryn Cowles
 Language
 eng
 Summary
 This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian modelfitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to build understanding of the concepts and procedures required to answer real questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchical models, and assessing Markov chain Monte Carlo output.  P.4 of cover
 Cataloging source
 IND
 http://library.link/vocab/creatorName
 Cowles, Mary Kathryn
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 Series statement
 Springer texts in statistics,
 http://library.link/vocab/subjectName
 Bayesian statistical decision theory
 Label
 Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
 Bibliography note
 Includes bibliographical references (pages 227229) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 1. What is Bayesian statistics?  2. Review of probability  3. Introduction to oneparameter models : estimating a population proportion  4. Inference for a population proportion  5. Special considerations in Bayesian inference  6. Other oneparameter models and their conjugate priors  7. More realism please : introduction to multiparameter models  8. Fitting more complex Bayesian models : Markov chain Monte Carlo  9. Hierarchical models and more on convergence assessment  10. Regression on hierarchical regression models  11. Model comparison, model checking, and hypothesis testing
 Control code
 838102161
 Dimensions
 24 cm
 Extent
 xiv, 232 pages
 Isbn
 9781461456957
 Lccn
 2012951150
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations (some color)
 System control number
 (OCoLC)838102161
 Label
 Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
 Bibliography note
 Includes bibliographical references (pages 227229) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 1. What is Bayesian statistics?  2. Review of probability  3. Introduction to oneparameter models : estimating a population proportion  4. Inference for a population proportion  5. Special considerations in Bayesian inference  6. Other oneparameter models and their conjugate priors  7. More realism please : introduction to multiparameter models  8. Fitting more complex Bayesian models : Markov chain Monte Carlo  9. Hierarchical models and more on convergence assessment  10. Regression on hierarchical regression models  11. Model comparison, model checking, and hypothesis testing
 Control code
 838102161
 Dimensions
 24 cm
 Extent
 xiv, 232 pages
 Isbn
 9781461456957
 Lccn
 2012951150
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations (some color)
 System control number
 (OCoLC)838102161
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/AppliedBayesianstatisticswithRandOpenBUGS/hGWfm9Tggrk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/AppliedBayesianstatisticswithRandOpenBUGS/hGWfm9Tggrk/">Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/AppliedBayesianstatisticswithRandOpenBUGS/hGWfm9Tggrk/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/AppliedBayesianstatisticswithRandOpenBUGS/hGWfm9Tggrk/">Applied Bayesian statistics : with R and OpenBUGS examples, Mary Kathryn Cowles</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>