03463nam 2200673 a 450 991045895530332120211005152931.01-280-90405-40-19-151384-91-4294-7043-7(CKB)1000000000400894(EBL)430458(OCoLC)609829971(SSID)ssj0000170761(PQKBManifestationID)11169525(PQKBTitleCode)TC0000170761(PQKBWorkID)10224168(PQKB)10145809(MiAaPQ)EBC430458(Au-PeEL)EBL430458(CaPaEBR)ebr10271492(CaONFJC)MIL90405(MiAaPQ)EBC4190938(EXLCZ)99100000000040089420051014d2006 uy 0engur|n|---|||||txtccrHierarchical modelling for the environmental sciences[electronic resource] statistical methods and applications /edited by James S. Clark and Alan E. GelfandOxford ;New York Oxford University Press20061 online resource (216 p.)Description based upon print version of record.0-19-856967-X 0-19-856966-1 Includes bibliographical references (p. 185-195) and index.Preface; 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 distributions6 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'...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 -Bayesian statistical decision theoryMultilevel models (Statistics)Mathematical statisticsData processingEnvironmental sciencesStatistical methodsElectronic books.Bayesian statistical decision theory.Multilevel models (Statistics)Mathematical statisticsData processing.Environmental sciencesStatistical methods.577.01/519542Clark James Samuel1957-875735Gelfand Alan E.1945-460540MiAaPQMiAaPQMiAaPQBOOK9910458955303321Hierarchical modelling for the environmental sciences1955750UNINA02428ogm 2200721 450 991071351930332120220621125957.0(CKB)5470000002502474(OCoLC)1156471494(OCoLC)1164072171(EXLCZ)99547000000250247420200603d2020 ua vengurmn|||||||||tdirdacontentcrdamediavrdamediacrrdacarrierOHRP guidance on COVID-19 OHRP live webcast /Office for Human Research ProtectionsRockville, MD :Office for Human Research Protections, HHS.1 online resource (1 video file (52 min., 47 sec.)) sound, color"April 28, 2020."Short presentation by OHRP staff on WebEx platform, followed by moderated Q&A session.OHRP guidance on COVID-19 COVID-19 (Disease)United StatesCoronavirus infectionsUnited StatesPreventionCOVID-19 (Disease)ReportingUnited StatesPublic health surveillanceUnited StatesCommunication in public healthUnited StatesCOVID-19 (Disease)ReportingfastCoronavirus infectionsPreventionfastCommunication in public healthfastCOVID-19 (Disease)fastPublic health surveillancefastUnited StatesfastInternet videos.fastVideo recordings.fastInternet videos.lcgftVideo recordings.lcgftCOVID-19 (Disease)Coronavirus infectionsPrevention.COVID-19 (Disease)ReportingPublic health surveillanceCommunication in public healthCOVID-19 (Disease)Reporting.Coronavirus infectionsPrevention.Communication in public health.COVID-19 (Disease)Public health surveillance.GPOGPOGPOOCLGPOMUBGPOOCLCFOCLOCLCOOCLCQBOOK9910713519303321OHRP guidance on COVID-193450744UNINA