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Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators
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 me...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2015
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| _version_ | 1867613150598135808 |
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| access_status_str | Open Access |
| author | Ngwenya, Mzabalazo Z |
| author2 | Thiart, Christien |
| author_browse | Ngwenya, Mzabalazo Z Thiart, Christien |
| author_facet | Thiart, Christien Ngwenya, Mzabalazo Z |
| author_sort | Ngwenya, Mzabalazo Z |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11265 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:34.243Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11265 Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators Ngwenya, Mzabalazo Z Thiart, Christien Haines, Linda Mathematical Statistics 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. 2015-01-04T14:30:26Z 2015-01-04T14:30:26Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11265 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Mathematical Statistics Ngwenya, Mzabalazo Z Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| thesis_degree_str | Master's |
| title | Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| title_full | Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| title_fullStr | Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| title_full_unstemmed | Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| title_short | Investigating 'optimal' kriging variance estimation :analytic and bootstrap estimators |
| title_sort | investigating optimal kriging variance estimation analytic and bootstrap estimators |
| topic | Mathematical Statistics |
| url | http://hdl.handle.net/11427/11265 |
| work_keys_str_mv | AT ngwenyamzabalazoz investigatingoptimalkrigingvarianceestimationanalyticandbootstrapestimators |