| Description |
1 online resource (xx, 342 pages) : illustrations |
| Series |
Chapman & Hall/CRC biostatistics series |
|
Chapman & Hall/CRC biostatistics series
|
| Contents |
1. Brief introduction to statistics, Bayesian methods, and WinBUGS -- 2. BugsXLA overview and reference manual -- 3. Normal linear models -- 4. Generalized linear models -- 5. Normal linear mixed models -- 6. Generalized linear mixed models -- 7. Emax or four-parameter logistic non-linear models -- 8. Bayesian variable selection -- 9. Longitudinal and repeated measures models -- 10. Robust models -- 11. Beyond BugsXLA : extending the WinBUGS code |
| Summary |
"Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues. From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists"-- Provided by publisher |
| Bibliography |
Includes bibliographical references |
| Notes |
English |
|
Print version record |
| SUBJECT |
Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775
|
|
WinBUGS. http://id.loc.gov/authorities/names/n2008051028
|
|
Microsoft Excel (Computer file) fast |
|
WinBUGS fast |
| Subject |
Bayesian statistical decision theory.
|
|
Statistics.
|
|
Statistics as Topic
|
|
Bayes Theorem
|
|
statistics.
|
|
statistics.
|
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MATHEMATICS -- Probability & Statistics -- Bayesian Analysis.
|
|
Statistics
|
|
Bayesian statistical decision theory
|
| Form |
Electronic book
|
| LC no. |
2011033774 |
| ISBN |
9781439839553 |
|
1439839557 |
|
0429151950 |
|
9780429151958 |
|
1283350300 |
|
9781283350303 |
|
9786613350305 |
|
6613350303 |
|
