LEADER 03525nam 2200577Ia 450 001 9910781160303321 005 20230120010859.0 010 $a1-282-75566-8 010 $a9786612755668 010 $a0-12-378606-1 035 $a(CKB)2550000000014106 035 $a(EBL)629953 035 $a(OCoLC)643060708 035 $a(SSID)ssj0000421067 035 $a(PQKBManifestationID)12154533 035 $a(PQKBTitleCode)TC0000421067 035 $a(PQKBWorkID)10407453 035 $a(PQKB)10827941 035 $a(MiAaPQ)EBC629953 035 $a(Au-PeEL)EBL629953 035 $a(CaPaEBR)ebr10408195 035 $a(CaONFJC)MIL275566 035 $a(EXLCZ)992550000000014106 100 $a20091208d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to WinBUGS for ecologists$b[electronic resource] $eBayesian approach to regression, ANOVA, mixed models and related analyses /$fMarc Ke?ry 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cElsevier$d2010 215 $a1 online resource (321 p.) 300 $aDescription based upon print version of record. 311 $a0-12-378605-3 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA 327 $aChapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance 327 $aChapter 22. Conclusions Appendix: A List of WinBUGS Tricks 330 $aBayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM), 606 $aBiometry$xData processing 615 0$aBiometry$xData processing. 676 $a577.01/5118 700 $aKe?ry$b Marc$01471102 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910781160303321 996 $aIntroduction to WinBUGS for ecologists$93683264 997 $aUNINA LEADER 01142nam a22002651i 4500 001 991001958499707536 005 20250708154546.0 008 030925s1902 it er | 001|0 ita d 035 $ab12221697-39ule_inst 035 $aARCHE-026934$9ExL 040 $aBibl. Interfacoltà T. Pellegrino$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.$dSocioculturale Scs 041 0 $aita 082 04$a027.04575$223 100 1 $aTanzi, Ferrante$0452022 245 12$aL'Archivio di Stato in Lecce (note e documenti) /$cFerrante Tanzi 260 $aLecce :$bStabilimento tipografico Giurdignano,$c1902 300 $a245 p. ;$c28 cm 610 24$aArchivio di Stato$zLecce$vDocumenti 907 $a.b12221697$b02-04-14$c08-10-03 912 $a991001958499707536 945 $aLE002 Sal. I G 15$g1$i2002000757692$lle002$o-$pE0.00$q-$rn$so$t0$u0$v0$w0$x0$y.i12602991$z08-10-03 945 $aLE002 Sal. II F 31 (Fondo Guerrieri)$g1$i2002000844330$lle002$o-$pE0.00$q-$rn$so$t0$u0$v0$w0$x0$y.i15414966$z29-05-12 996 $aArchivio di Stato in Lecce (note e documenti)$94130362 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da$e-$fita$git$h2$i1