Analysis of Spatial-Temporal data: the Case Study of Zanjan Daily mean Wind Speed Data

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SHAHNAVAZ ALI; M. Mosammam Ali; BEHZADI MOHAMMAD HASSAN

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ISSN: 2588-4824

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Journal: ADVANCES IN MATHEMATICAL MODELING Year:2019 | Volume:9 | Issue:2 Page(s): 53-76

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Title

Analysis of Spatial-Temporal data: the Case Study of Zanjan Daily mean Wind Speed Data

Author(s)

SHAHNAVAZ ALI | M. Mosammam Ali | BEHZADI MOHAMMAD HASSAN | Issue Writer Certificate

Keywords

SpaceQ1

time model HalfQ1

spectral model Whittle likelihoodQ1

Abstract

In this paper, we first study the theory of the spatial-temporal half spectral modelling and describe some properties of recently proposed half spectral models. Next, we propose an estimation method for the estimation of spatial-temporal covariance functions in the half-spectral setting. To assess the performance of the proposed half-spectral models, we conduct two simulations. in which we compare the proposed fitting approach with respect to the other classical estimation methods. The proposed methods have great success in fitting parametric Space-time covariance functions specifically for massive data sets. Finally, we apply the proposed methods for a real daily wind speed data in Zanjan, Iran.

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APA: Copy

SHAHNAVAZ, ALI, M. Mosammam, Ali, & BEHZADI, MOHAMMAD HASSAN. (2019). Analysis of Spatial-Temporal data: the Case Study of Zanjan Daily mean Wind Speed Data. ADVANCES IN MATHEMATICAL MODELING, 9(2 ), 53-76. SID. https://sid.ir/paper/396756/en

Vancouver: Copy

SHAHNAVAZ ALI, M. Mosammam Ali, BEHZADI MOHAMMAD HASSAN. Analysis of Spatial-Temporal data: the Case Study of Zanjan Daily mean Wind Speed Data. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2019;9(2 ):53-76. Available from: https://sid.ir/paper/396756/en

IEEE: Copy

ALI SHAHNAVAZ, Ali M. Mosammam, and MOHAMMAD HASSAN BEHZADI, “Analysis of Spatial-Temporal data: the Case Study of Zanjan Daily mean Wind Speed Data,” ADVANCES IN MATHEMATICAL MODELING, vol. 9, no. 2 , pp. 53–76, 2019, [Online]. Available: https://sid.ir/paper/396756/en

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