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

 

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dc.contributor.advisor Thiart, Christien en_ZA
dc.contributor.advisor Haines, Linda en_ZA
dc.contributor.author Ngwenya, Mzabalazo Z en_ZA
dc.date.accessioned 2015-01-04T14:30:26Z
dc.date.available 2015-01-04T14:30:26Z
dc.date.issued 2011 en_ZA
dc.identifier.citation Ngwenya, M. 2011. Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/11265
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Mathematical Statistics en_ZA
dc.title Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Statistical Sciences en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image


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