[-] Show simple item record

dc.contributor.advisorSun, Dongchueng
dc.contributor.advisorSpeckman, Paul L. (Paul Lorenz), 1946-eng
dc.contributor.authorWhite, Gentry, 1972-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 (May 2, 2007)eng
dc.descriptionVita.eng
dc.descriptionThesis (Ph.D.) University of Missouri-Columbia 2006.eng
dc.description.abstractOver the past decades a great deal of effort has been expended in the collection and compilation of high quality data on cancer incidence and mortality in the United States. These data have largely been used in the creation and disbursement of descriptive statistics concerning the state of cancer in the U.S. The information available through these statistics present limited information concerning spatial or temporal trends in the course of cancer in the U.S. Recently, there have been more efforts made to investigate these trends. Smoothing is the practice of modeling data in order to eliminate random variation from the observed data and provide estimates of the underlying process. Models are developed here that incorporate a number of techniques for smoothing spatial and spatio-temporal data. These include an additive model and two joint spatio-temporal models. Data analyzed includes mortality due to female breast cancer in Missouri from 1969-2000 and survey responses to the Missouri Turkey Hunting Survey, conducted by the Missouri Department of Conservation.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.identifier.merlinb58486173eng
dc.identifier.oclc123912546eng
dc.identifier.urihttps://doi.org/10.32469/10355/4450eng
dc.identifier.urihttps://hdl.handle.net/10355/4450
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsOpenAccess.eng
dc.subject.lcshCancer -- Statisticseng
dc.subject.lcshSmoothing (Statistics)eng
dc.subject.lcshSpatial analysis (Statistics)eng
dc.titleBayesian semiparametric spatial and joint spatio-temporal modelingeng
dc.typeThesiseng
thesis.degree.disciplineStatistics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


Files in this item

[PDF]
[PDF]
[PDF]

This item appears in the following Collection(s)

[-] Show simple item record