Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data
The link between geographic information systems and decision making approach own the invention and development of spatial data melding method. These methods combine different data sets, to achieve better results. In this paper, the Bayesian melding method for combining the measurements and outputs o...
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| Format: | Article |
| Language: | fas |
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Kharazmi University
2015-07-01
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| Series: | پژوهشهای ریاضی |
| Subjects: | |
| Online Access: | http://mmr.khu.ac.ir/article-1-2531-en.html |
| _version_ | 1797871728389521408 |
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| author | N. Mahdiyanfard M Mohammadzadeh |
| author_facet | N. Mahdiyanfard M Mohammadzadeh |
| author_sort | N. Mahdiyanfard |
| collection | DOAJ |
| description | The link between geographic information systems and decision making approach own the invention and development of spatial data melding method. These methods combine different data sets, to achieve better results. In this paper, the Bayesian melding method for combining the measurements and outputs of deterministic models and kriging are considered. Then the ozone data in Tehran city are analyzed by using these methods. Next their results are evaluated and compared in terms of mean square error criterion. Finally, discussion and results are given. |
| first_indexed | 2024-04-10T00:47:15Z |
| format | Article |
| id | doaj.art-71e372a27d334054b87e26364f14f397 |
| institution | Directory Open Access Journal |
| issn | 2588-2546 2588-2554 |
| language | fas |
| last_indexed | 2024-04-10T00:47:15Z |
| publishDate | 2015-07-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | پژوهشهای ریاضی |
| spelling | doaj.art-71e372a27d334054b87e26364f14f3972023-03-13T19:17:57ZfasKharazmi Universityپژوهشهای ریاضی2588-25462588-25542015-07-01118598Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent DataN. Mahdiyanfard0M Mohammadzadeh1 Department of Statistics, Tarbiat Modares University Department of Statistics, Tarbiat Modares University The link between geographic information systems and decision making approach own the invention and development of spatial data melding method. These methods combine different data sets, to achieve better results. In this paper, the Bayesian melding method for combining the measurements and outputs of deterministic models and kriging are considered. Then the ozone data in Tehran city are analyzed by using these methods. Next their results are evaluated and compared in terms of mean square error criterion. Finally, discussion and results are given.http://mmr.khu.ac.ir/article-1-2531-en.htmlbayesian meldingdeterministic modelkriging |
| spellingShingle | N. Mahdiyanfard M Mohammadzadeh Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data پژوهشهای ریاضی bayesian melding deterministic model kriging |
| title | Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data |
| title_full | Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data |
| title_fullStr | Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data |
| title_full_unstemmed | Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data |
| title_short | Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data |
| title_sort | bayesian melding of deterministic models and kriging for analysis of spatially dependent data |
| topic | bayesian melding deterministic model kriging |
| url | http://mmr.khu.ac.ir/article-1-2531-en.html |
| work_keys_str_mv | AT nmahdiyanfard bayesianmeldingofdeterministicmodelsandkrigingforanalysisofspatiallydependentdata AT mmohammadzadeh bayesianmeldingofdeterministicmodelsandkrigingforanalysisofspatiallydependentdata |