A comprehensive approach to spatial and spatiotemporal dependence modeling

Simple item page
dc.contributor.advisorEnsor, Katherine B.en_US
dc.creatorBaggett, Larry Scotten_US
dc.date.accessioned2009-06-04T08:01:42Zen_US
dc.date.available2009-06-04T08:01:42Zen_US
dc.date.issued2000en_US
dc.description.abstractOne of the most difficult tasks of modeling spatial and spatiotemporal random fields is that of deriving an accurate representation of the dependence structure. In practice, the researcher is faced with selecting the best empirical representation of the data, the proper family of parametric models, and the most efficient method of parameter estimation once the model is selected. Each of these decisions has direct consequence on the prediction accuracy of the modeled random field. In order to facilitate the process of spatial dependence modeling, a general class of covariogram estimators is introduced. They are derived by direct application of Bochner's theorem on the Fourier-Bessel series representation of the covariogram. Extensions are derived for one, two and three dimensions and spatiotemporal extensions for one, two and three spatial dimensions as well. A spatial application is demonstrated for prediction of the distribution of sediment contaminants in Galveston Bay estuary, Texas. Also included is a spatiotemporal application to generate predictions for sea surface temperatures adjusted for periodic climatic effects from a long-term study region off southern California.en_US
dc.format.extent226 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS STAT. 2000 BAGGETTen_US
dc.identifier.citationBaggett, Larry Scott. "A comprehensive approach to spatial and spatiotemporal dependence modeling." (2000) Diss., Rice University. <a href="https://hdl.handle.net/1911/19467">https://hdl.handle.net/1911/19467</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19467en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectPhysical oceanographyen_US
dc.subjectStatisticsen_US
dc.subjectEnvironmental scienceen_US
dc.titleA comprehensive approach to spatial and spatiotemporal dependence modelingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentStatisticsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
9969227.PDF
Size:
5.67 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Theses and Dissertations
Theses and Dissertations