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Department of Statistical Sciences

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

Abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ngwenya, Mzabalazo Z
Advisors dc:contributor.advisor
  • Thiart, Christien
  • Haines, Linda

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11265
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11265

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
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citation

Ngwenya, Mzabalazo Z. Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators. Department of Statistical Sciences, 2011. http://hdl.handle.net/11427/11265