Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators

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dc.contributor.advisorThiart, Christienen_ZA
dc.contributor.advisorHaines, Lindaen_ZA
dc.contributor.authorNgwenya, Mzabalazo Zen_ZA
dc.date.accessioned2015-01-04T14:30:26Z
dc.date.available2015-01-04T14:30:26Z
dc.date.issued2011en_ZA
dc.description.abstractKriging is a widely used group of techniques for predicting unobserved responses at specified locations using a set of observations obtained from known locations. Kriging predictors are best linear unbiased predictors (BLUPs) and the precision of predictions obtained from them are assessed by the mean squared prediction error (MSPE), commonly termed the kriging variance.en_ZA
dc.identifier.apacitationNgwenya, M. Z. (2011). <i>Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/11265en_ZA
dc.identifier.chicagocitationNgwenya, Mzabalazo Z. <i>"Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2011. http://hdl.handle.net/11427/11265en_ZA
dc.identifier.citationNgwenya, M. 2011. Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Ngwenya, Mzabalazo Z AB - Kriging is a widely used group of techniques for predicting unobserved responses at specified locations using a set of observations obtained from known locations. Kriging predictors are best linear unbiased predictors (BLUPs) and the precision of predictions obtained from them are assessed by the mean squared prediction error (MSPE), commonly termed the kriging variance. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators TI - Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators UR - http://hdl.handle.net/11427/11265 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11265
dc.identifier.vancouvercitationNgwenya MZ. Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11265en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Statisticsen_ZA
dc.titleInvestigating 'optimal' kriging variance estimation :analytic and bootstrap estimatorsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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