Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models

Spatial modeling is important in many fields and there are various kinds of spatial models. One of such models is known as the fractionally integrated separable spatial ARMA (FISSARMA) model. In the area of time series analysis, Sowell (19927. Sowell, F. (1992). Maximum likelihood estimation of stat...

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Main Authors: Ghodsi, Alireza, Shitan, Mahendran
Format: Article
Language:English
Published: Taylor & Francis 2015
Online Access:http://psasir.upm.edu.my/id/eprint/43897/1/Autocovariance%20Function%20of%20the%20Fractionally%20Integrated%20Separable%20Spatial%20ARMA%20%28FISSARMA%29%20models.pdf
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author Ghodsi, Alireza
Shitan, Mahendran
author_facet Ghodsi, Alireza
Shitan, Mahendran
author_sort Ghodsi, Alireza
collection UPM
description Spatial modeling is important in many fields and there are various kinds of spatial models. One of such models is known as the fractionally integrated separable spatial ARMA (FISSARMA) model. In the area of time series analysis, Sowell (19927. Sowell, F. (1992). Maximum likelihood estimation of stationary univariate fractionally integrated time series models. J. Econ. 53:165–188.[CrossRef], [Web of Science ®]View all references) has established the autocovariance function of the long-memory models using hypergeometric function. In this paper we will extend Sowell’s work for FISSARMA models.
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spelling upm.eprints-438972016-10-27T09:00:53Z http://psasir.upm.edu.my/id/eprint/43897/ Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models Ghodsi, Alireza Shitan, Mahendran Spatial modeling is important in many fields and there are various kinds of spatial models. One of such models is known as the fractionally integrated separable spatial ARMA (FISSARMA) model. In the area of time series analysis, Sowell (19927. Sowell, F. (1992). Maximum likelihood estimation of stationary univariate fractionally integrated time series models. J. Econ. 53:165–188.[CrossRef], [Web of Science ®]View all references) has established the autocovariance function of the long-memory models using hypergeometric function. In this paper we will extend Sowell’s work for FISSARMA models. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43897/1/Autocovariance%20Function%20of%20the%20Fractionally%20Integrated%20Separable%20Spatial%20ARMA%20%28FISSARMA%29%20models.pdf Ghodsi, Alireza and Shitan, Mahendran (2015) Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models. Communications in Statistics: Theory and Methods, 44 (5). pp. 933-941. ISSN 0361-0926; ESSN: 1532-415X http://www.tandfonline.com/doi/abs/10.1080/03610926.2012.755201?journalCode=lsta20 10.1080/03610926.2012.755201
spellingShingle Ghodsi, Alireza
Shitan, Mahendran
Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title_full Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title_fullStr Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title_full_unstemmed Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title_short Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
title_sort autocovariance function of the fractionally integrated separable spatial arma fissarma models
url http://psasir.upm.edu.my/id/eprint/43897/1/Autocovariance%20Function%20of%20the%20Fractionally%20Integrated%20Separable%20Spatial%20ARMA%20%28FISSARMA%29%20models.pdf
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AT shitanmahendran autocovariancefunctionofthefractionallyintegratedseparablespatialarmafissarmamodels