Cargando…

Bayesian modeling using WinBUGS /

"Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian mod...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ntzoufras, Ioannis, 1973-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2009.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 a 4500
001 EBOOKCENTRAL_ocn352907562
003 OCoLC
005 20240329122006.0
006 m o d
007 cr cnu---unuuu
008 090527s2009 njua ob 001 0 eng d
040 |a N$T  |b eng  |e pn  |c N$T  |d YDXCP  |d OCLCQ  |d DG1  |d CDX  |d IDEBK  |d E7B  |d DG1  |d OCLCQ  |d FVL  |d OCLCQ  |d MERUC  |d EBLCP  |d WAU  |d OCLCQ  |d DEBSZ  |d DKDLA  |d OCLCQ  |d UKDOC  |d OCLCF  |d COO  |d OCLCQ  |d NLGGC  |d AZK  |d LOA  |d IAS  |d OCLCQ  |d COCUF  |d DG1  |d OCLCQ  |d MOR  |d OCLCO  |d LIP  |d PIFAG  |d ZCU  |d OCLCQ  |d NJR  |d OCLCO  |d U3W  |d OCLCQ  |d OCLCO  |d UUM  |d STF  |d WRM  |d NRAMU  |d ICG  |d OCLCQ  |d INT  |d VT2  |d OCLCQ  |d YOU  |d WYU  |d TKN  |d OCLCQ  |d OCLCO  |d OCLCQ  |d DKC  |d OCLCQ  |d OL$  |d OCLCQ  |d OCLCO  |d UKCRE  |d VLY  |d UKAHL  |d VHC  |d OCLCQ  |d OCLCO  |d OCLCL  |d EZC  |d OCLCO 
019 |a 318240421  |a 352837855  |a 437111382  |a 476270934  |a 502981854  |a 647764425  |a 748588267  |a 815767298  |a 961494380  |a 962574262  |a 966212214  |a 988406148  |a 991953919  |a 1034917922  |a 1037918037  |a 1038701738  |a 1045512516  |a 1055352469  |a 1063818774  |a 1081185127  |a 1153545266  |a 1162256158  |a 1228579120  |a 1290032128  |a 1303441869 
020 |a 9780470434543  |q (electronic bk.) 
020 |a 0470434546  |q (electronic bk.) 
020 |a 9780470434567 
020 |a 0470434562 
020 |a 661203081X 
020 |a 9786612030819 
020 |a 1118210352 
020 |a 9781118210352 
020 |a 1282030817 
020 |a 9781282030817 
020 |z 047014114X  |q (Cloth) 
020 |z 9780470141144  |q (pbk.) 
024 7 |a 10.1002/9780470434567  |2 doi 
024 8 |a 9786612030819 
029 1 |a AU@  |b 000048787318 
029 1 |a AU@  |b 000053263339 
029 1 |a CDX  |b 9833298 
029 1 |a CHNEW  |b 000933883 
029 1 |a CHVBK  |b 480142270 
029 1 |a DEBBG  |b BV044134617 
029 1 |a DEBSZ  |b 372691749 
029 1 |a DEBSZ  |b 381093360 
029 1 |a DEBSZ  |b 43072098X 
029 1 |a NLGGC  |b 318790661 
029 1 |a NZ1  |b 13338967 
029 1 |a NZ1  |b 13457277 
029 1 |a NZ1  |b 14241477 
035 |a (OCoLC)352907562  |z (OCoLC)318240421  |z (OCoLC)352837855  |z (OCoLC)437111382  |z (OCoLC)476270934  |z (OCoLC)502981854  |z (OCoLC)647764425  |z (OCoLC)748588267  |z (OCoLC)815767298  |z (OCoLC)961494380  |z (OCoLC)962574262  |z (OCoLC)966212214  |z (OCoLC)988406148  |z (OCoLC)991953919  |z (OCoLC)1034917922  |z (OCoLC)1037918037  |z (OCoLC)1038701738  |z (OCoLC)1045512516  |z (OCoLC)1055352469  |z (OCoLC)1063818774  |z (OCoLC)1081185127  |z (OCoLC)1153545266  |z (OCoLC)1162256158  |z (OCoLC)1228579120  |z (OCoLC)1290032128  |z (OCoLC)1303441869 
037 |a 10.1002/9780470434567  |b Wiley InterScience  |n http://www3.interscience.wiley.com 
050 4 |a QA279.5  |b .N89 2009eb 
072 7 |a MAT  |x 029010  |2 bisacsh 
082 0 4 |a 519.5/42  |2 22 
084 |a 31.73  |2 bcl 
049 |a UAMI 
100 1 |a Ntzoufras, Ioannis,  |d 1973- 
245 1 0 |a Bayesian modeling using WinBUGS /  |c Ioannis Ntzoufras. 
260 |a Hoboken, N.J. :  |b Wiley,  |c ©2009. 
300 |a 1 online resource (xxiii, 492 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file 
504 |a Includes bibliographical references (pages 469-484) and index. 
588 0 |a Print version record. 
505 0 |a Introduction to Bayesian inference -- Markov chain Monte Carlo algorithms in Bayesian inference -- WinBUGS software : introduction, setup, and basic analysis -- WinBUGS software : illustration, results, and further analysis -- Introduction to Bayesian models : normal models -- Incorporating categorical variables in normal models and further modeling issues -- Introduction to generalized linear models : binomial and Poisson data -- Models for positive continuous data, count data, and other GLM-based extensions -- Bayesian hierarchical models -- The predictive distribution and model checking -- Bayesian model and variable evaluation -- Appendix A : Model specification via directed acyclic graphs : the DOODLE menu -- Appendix B : The batch mode : running a model in the background using scripts -- Appendix C : Checking convergence using CODA/BOA -- Appendix D : Notation summary. 
520 |a "Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian modeling with detailed guidance on the practical implementation of key principles. Computational notes and screen captures illustrate the use of both WinBUGS as well as R software to apply the discussed techniques. Exercises at the end of each chapter allow readers to test their understanding of the presented concepts and all data sets and code are available on the book's related Web site. Requiring only a working knowledge of probability theory and statistics, Bayesian Modeling Using WinBUGS serves as an excellent book for courses on Bayesian statistics at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, actuarial science, medicine, and the social sciences who use WinBUGS in their everyday work"--Provided by publisher 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
630 0 0 |a WinBUGS. 
630 0 7 |a WinBUGS  |2 fast 
650 0 |a Bayesian statistical decision theory. 
650 6 |a Théorie de la décision bayésienne. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Bayesian Analysis.  |2 bisacsh 
650 7 |a Bayesian statistical decision theory  |2 fast 
650 1 7 |a Methode van Bayes.  |2 gtt  |0 (NL-LeOCL)078445086 
650 1 7 |a WinBUGS.  |2 gtt  |0 (NL-LeOCL)317773348 
655 7 |a dissertations.  |2 aat 
655 7 |a Academic theses  |2 fast 
655 7 |a Academic theses.  |2 lcgft 
655 7 |a Thèses et écrits académiques.  |2 rvmgf 
758 |i has work:  |a Bayesian modeling using WinBUGS (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCH4yYkf3HmpBT6kKGxMqXq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Ntzoufras, Ioannis, 1973-  |t Bayesian modeling using WinBUGS.  |d Hoboken, N.J. : Wiley, ©2009  |z 9780470141144  |z 047014114X  |w (DLC) 2008033316  |w (OCoLC)237048398 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=427808  |z Texto completo 
938 |a 123Library  |b 123L  |n 21978 
938 |a Askews and Holts Library Services  |b ASKH  |n AH21628419 
938 |a Coutts Information Services  |b COUT  |n 9833298 
938 |a EBL - Ebook Library  |b EBLB  |n EBL427808 
938 |a ebrary  |b EBRY  |n ebr10296519 
938 |a EBSCOhost  |b EBSC  |n 270771 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n 203081 
938 |a YBP Library Services  |b YANK  |n 3033742 
938 |a YBP Library Services  |b YANK  |n 2979152 
938 |a YBP Library Services  |b YANK  |n 12671043 
994 |a 92  |b IZTAP