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dc.contributor.advisorWikle, Christopher K., 1963-eng
dc.contributor.authorHooten, Mevin B., 1976-eng
dc.date.issued2006eng
dc.date.submitted2006 Summereng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (April 26, 2007)eng
dc.descriptionVita.eng
dc.descriptionThesis (Ph.D.) University of Missouri-Columbia 2006.eng
dc.description.abstractEcosystems are composed of phenomena that propagate in time and space. Often, ecological processes underlying such phenomena are studied separably in various subdisciplines, while larger scale, interlinking mechanisms are overlooked or only speculated about. As grows the burden of global climate change and human disturbance of natural systems, so grows the need for rigorous statistical methods focused on characterizing and forecasting large scale spatiotemporal environmental and ecological processes in the presence of limited data and multiple sources of uncertainty. Hierarchical models offer a powerful means with which to study complex phenomena in space and time. This dissertation develops and illustrates the utility of spatiotemporal hierarchical models for studying ecological phenomena.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.identifier.merlinb5846167xeng
dc.identifier.oclc123539974eng
dc.identifier.urihttps://doi.org/10.32469/10355/4500eng
dc.identifier.urihttps://hdl.handle.net/10355/4500
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccess.eng
dc.subject.lcshEcosystem managementeng
dc.subject.lcshGlobal environmental changeeng
dc.subject.lcshBiotic communitieseng
dc.titleHierarchical spatio-temporal models for ecological processeseng
dc.typeThesiseng
thesis.degree.disciplineStatistics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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