| 000 | 03457cam a2200589Mi 4500 | ||
|---|---|---|---|
| 001 | 9781003043997 | ||
| 003 | FlBoTFG | ||
| 005 | 20220509193034.0 | ||
| 006 | m d | ||
| 007 | cr ||||||||||| | ||
| 008 | 210203s2021 flua o 000 0 eng | ||
| 040 |
_aOCoLC-P _beng _cOCoLC-P _erda |
||
| 020 | _a9781000376722 (ePub ebook) | ||
| 020 | _a1000376729 (ePub ebook) | ||
| 020 | _a9781000376708 (PDF ebook) | ||
| 020 | _a1000376702 (PDF ebook) | ||
| 020 | _a9781003043997 (ebook) | ||
| 020 | _a1003043992 (ebook) | ||
| 020 | _z9780367490126 (hbk.) : | ||
| 024 | 7 |
_a10.1201/9781003043997 _2doi |
|
| 035 | _a(OCoLC)1249750321 | ||
| 035 | _a(OCoLC-P)1249750321 | ||
| 050 | 0 | 0 | _aRA409.5 |
| 072 | 7 |
_aMAT _x029000 _2bisacsh |
|
| 072 | 7 |
_aMED _x028000 _2bisacsh |
|
| 072 | 7 |
_aMBNS _2bicssc |
|
| 082 | 0 | 4 |
_a610.21 _223 |
| 100 | 1 |
_aLawson, Andrew _q(Andrew B.), _eauthor. |
|
| 245 | 1 | 0 |
_aUsing R for Bayesian spatial and spatio-temporal health modeling / _cAndrew B. Lawson. |
| 250 | _a1st. | ||
| 264 | 1 |
_aBoca Raton : _bChapman & Hall/CRC, _c2021. |
|
| 300 |
_a1 online resource : _billustrations (black and white). |
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| 336 |
_astill image _2rdacontent |
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| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _bn _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 0 | _aChapman & Hall/CRC the R series | |
| 500 | _a<P>1. Introduction and Data Sets<BR>2. R Graphics and Spatial Health Data<BR>3. Bayesian Hierarchical Models<BR>4. Computation<BR>5. Bayesian model Goodness of Fit Criteria<BR>6. Bayesian Disease Mapping Models</P><P>Part I Basic Software Approaches</P><P>7. BRugs/OpenBUGS<BR>8. Nimble<BR>9. CARBayes<BR>10. INLA and R-INLA<BR>11. Clustering, Latent Variable and Mixture Modeling<BR>12. Spatio-Temporal Modeling with MCMC<BR>13. Spatio-Temporal Modeling with INLA</P><P>Part II Some Advanced and Special topics</P><P>14. Multivariate Models<BR>15. Survival Modeling<BR>16. Missingness, Measurement Error and Variable Selection<BR>17. Individual Event Modeling<BR>18. Infectious Disease Modeling</P> | ||
| 520 | _a"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"-- | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aMedical statistics _xData processing. |
|
| 650 | 0 |
_aMedical mapping _xData processing. |
|
| 650 | 0 |
_aMedical statistics _xComputer programs. |
|
| 650 | 0 |
_aGeospatial data _xComputer processing. |
|
| 650 | 0 | _aGeographic information systems. | |
| 650 | 0 |
_aInformation modeling _xSimulation methods. |
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| 650 | 0 | _aR (Computer program language) | |
| 650 | 0 | _aBayesian statistical decision theory. | |
| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General _2bisacsh |
|
| 650 | 7 |
_aMEDICAL / Epidemiology _2bisacsh |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003043997 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c128665 _d128665 |
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