Data analysis using regression and multilevel/hierarchical modelsMore by Andrew Gelman
"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…
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| Format | Publisher | Year | ISBN |
|---|---|---|---|
| Edition | Taylor & Francis Group | 2013 | 9781439840962 |
| Edition | Taylor & Francis Group | 2013 | 9781439898222 |
| Edition | Taylor & Francis Group | 2013 | 9781439898208 |
| Edition | Taylor & Francis Group | 2013 | 9780429113079 |
| Edition | Chapman & Hall/CRC | 2004 | 9781584883883 |
| Edition | Taylor & Francis Group | 2003 | 9781280267819 |
| Edition | Taylor & Francis Group | 2003 | 9781102154174 |
| Edition | Taylor & Francis Group | 2003 | 9781420057294 |
| Edition | Taylor & Francis Group | 1995 | 9780203491287 |
| Edition | Chapman & Hall/CRC | 1995 | 9780412039911 |
| Edition | — | 1995 | 9780429258411 |
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