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:: Volume 8, Issue 2 (3-2012) ::
JSRI 2012, 8(2): 177-192 Back to browse issues page
Spatial-Temporal Trend Modeling for Ozone Concentration in Tehran City
Somayeh Mousavi , Mohsen Mohammadzadeh 1
1- , mohsen_m@modares.ac.ir
Abstract:   (3472 Views)

 Fitting a suitable covariance function for the correlation structure of spatial-temporal data requires de-trending the data. In this article, some potential models for spatial-temporal trend are presented. Eventually the best model will be announced for de-trending tropospheric ozone concentration data for the city of Tehran (Capital city of Iran). By using the selected trend model, some features of the covariance function of de-trended data will be specified. 

Keywords: Spatial-temporal random Field, modeling spatial-temporal trend, dynamic spatial linear model, symmetry, separability, ozone concentration
Full-Text [PDF 521 kb]   (1844 Downloads)    
Type of Study: Research | Subject: General
Received: 2015/12/30 | Accepted: 2015/12/30 | Published: 2015/12/30
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Mousavi S, Mohammadzadeh M. Spatial-Temporal Trend Modeling for Ozone Concentration in Tehran City. JSRI 2012; 8 (2) :177-192
URL: http://jsri.srtc.ac.ir/article-1-75-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 2 (3-2012) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
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