Volume 1, Issue 1 (7-2015)
mmr 2015, 1(1): 85-98 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mahdiyanfard N, Mohammadzadeh M. Bayesian Melding of Deterministic Models and Kriging for Analysis of Spatially Dependent Data . mmr 2015; 1 (1) :85-98
URL: http://mmr.khu.ac.ir/article-1-2531-en.html
URL: http://mmr.khu.ac.ir/article-1-2531-en.html
1- Department of Statistics, Tarbiat Modares University
Abstract: (2560 Views)
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.
Type of Study: Original Manuscript |
Subject:
stat
Received: 2016/02/15 | Revised: 2017/09/13 | Accepted: 2016/02/15 | Published: 2016/02/15 | ePublished: 2016/02/15
Received: 2016/02/15 | Revised: 2017/09/13 | Accepted: 2016/02/15 | Published: 2016/02/15 | ePublished: 2016/02/15
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
