LEADER 03425nam 2200661 a 450 001 9910784502503321 005 20230828214457.0 010 $a1-383-02994-6 010 $a1-280-90405-4 010 $a0-19-151384-9 010 $a1-4294-7043-7 035 $a(CKB)1000000000400894 035 $a(EBL)430458 035 $a(OCoLC)609829971 035 $a(SSID)ssj0000170761 035 $a(PQKBManifestationID)11169525 035 $a(PQKBTitleCode)TC0000170761 035 $a(PQKBWorkID)10224168 035 $a(PQKB)10145809 035 $a(Au-PeEL)EBL430458 035 $a(CaPaEBR)ebr10271492 035 $a(CaONFJC)MIL90405 035 $a(MiAaPQ)EBC430458 035 $a(EXLCZ)991000000000400894 100 $a20051014d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHierarchical modelling for the environmental sciences$b[electronic resource] $estatistical methods and applications /$fedited by James S. Clark and Alan E. Gelfand 210 $aOxford ;$aNew York $cOxford University Press$d2006 215 $a1 online resource (216 p.) 300 $aDescription based upon print version of record. 311 $a0-19-856967-X 311 $a0-19-856966-1 320 $aIncludes bibliographical references (p. 185-195) and index. 327 $aPreface; Contents; Contributors; Part I: Introduction to hierarchical modeling; 1 Elements of hierarchical Bayesian inference; 2 Bayesian hierarchical models in geographical genetics; Part II: Hierarchical models in experimental settings; 3 Synthesizing ecological experiments and observational data with hierarchical Bayes; 4 Effects of global change on inflorescence production: a Bayesian hierarchical analysis; Part III: Spatial modeling; 5 Building statistical models to analyze species distributions 327 $a6 Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysisPart IV: Spatio-temporal modeling; 7 Spatial-temporal statistical modeling and prediction of environmental processes; 8 Hierarchical Bayesian spatio-temporal models for population spread; 9 Spatial models for the distribution of extremes; References; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; X; Y; Z 330 $a'...if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1 - 606 $aBayesian statistical decision theory 606 $aMultilevel models (Statistics) 606 $aMathematical statistics$xData processing 606 $aEnvironmental sciences$xStatistical methods 615 0$aBayesian statistical decision theory. 615 0$aMultilevel models (Statistics) 615 0$aMathematical statistics$xData processing. 615 0$aEnvironmental sciences$xStatistical methods. 676 $a577.01/519542 701 $aClark$b James Samuel$f1957-$01582283 701 $aGelfand$b Alan E.$f1945-$0460540 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784502503321 996 $aHierarchical modelling for the environmental sciences$93864541 997 $aUNINA