The Resource Bayesian data analysis, Andrew Gelman [and others]
Bayesian data analysis, Andrew Gelman [and others]
Resource Information
The item Bayesian data analysis, Andrew Gelman [and others] 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 Bayesian data analysis, Andrew Gelman [and others] 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
- "Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations." "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models." "Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--Jacket
- Language
- eng
- Label
- Bayesian data analysis
- Title
- Bayesian data analysis
- Statement of responsibility
- Andrew Gelman [and others]
- Language
- eng
- Summary
- "Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations." "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models." "Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--Jacket
- Cataloging source
- EUN
- Dewey number
- 519.542
- Illustrations
- illustrations
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Gelman, Andrew
- Series statement
- Chapman & Hall texts in statistical science series
- http://library.link/vocab/subjectName
-
- Bayesian statistical decision theory
- Mathematical statistics
- Label
- Bayesian data analysis, Andrew Gelman [and others]
- Bibliography note
- Includes bibliographical references (pages [489]-512) and indexes
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 33233097
- Dimensions
- 25 cm
- Extent
- xix, 526 pages
- Isbn
- 9780412039911
- Lccn
- gb 95074791
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- Label
- Bayesian data analysis, Andrew Gelman [and others]
- Bibliography note
- Includes bibliographical references (pages [489]-512) and indexes
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- 33233097
- Dimensions
- 25 cm
- Extent
- xix, 526 pages
- Isbn
- 9780412039911
- Lccn
- gb 95074791
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Bayesian-data-analysis-Andrew-Gelman-and/FIuhsIuHjvM/" 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/Bayesian-data-analysis-Andrew-Gelman-and/FIuhsIuHjvM/">Bayesian data analysis, Andrew Gelman [and others]</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>
