Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.

Several classes of models have been proposed to describe the spatial processes. A special class of non-separable spatial unilateral model for modeling spatial data on two dimensional rectangular regular grid is the spatial autoregressive model, denoted by AR( PI ,1). In this paper, we establish a pr...

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Main Authors: Awang, Norhashidah, Shitan, Mahendran
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.usm.my/11688/
http://eprints.usm.my/11688/1/MAXIMUM_LIKELIHOOD_ESTIMATION_FOR_THE_NON-SEPARABLE_SPATIAL_UNILATERAL_AUTOREGRESSIVE_MODEL.pdf
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author Awang, Norhashidah
Shitan, Mahendran
author_facet Awang, Norhashidah
Shitan, Mahendran
author_sort Awang, Norhashidah
building USM Institutional Repository
collection Online Access
description Several classes of models have been proposed to describe the spatial processes. A special class of non-separable spatial unilateral model for modeling spatial data on two dimensional rectangular regular grid is the spatial autoregressive model, denoted by AR( PI ,1). In this paper, we establish a procedure to estimate the parameters of this model using the maximum likelihood method. We show that this procedure is practical and easy to be implemented We illustrate the procedure by fitting the AR(l, J) model to two set of data on the regular rectangular grid.
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format Conference or Workshop Item
id usm-11688
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T15:38:00Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling usm-116882013-07-13T04:46:08Z http://eprints.usm.my/11688/ Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model. Awang, Norhashidah Shitan, Mahendran QA1-939 Mathematics Several classes of models have been proposed to describe the spatial processes. A special class of non-separable spatial unilateral model for modeling spatial data on two dimensional rectangular regular grid is the spatial autoregressive model, denoted by AR( PI ,1). In this paper, we establish a procedure to estimate the parameters of this model using the maximum likelihood method. We show that this procedure is practical and easy to be implemented We illustrate the procedure by fitting the AR(l, J) model to two set of data on the regular rectangular grid. 2008-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/11688/1/MAXIMUM_LIKELIHOOD_ESTIMATION_FOR_THE_NON-SEPARABLE_SPATIAL_UNILATERAL_AUTOREGRESSIVE_MODEL.pdf Awang, Norhashidah and Shitan, Mahendran (2008) Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model. In: The 3rd International Conference on Mathematics and Statistics, 5-6 August 2008, Institut Pertanian Bogar, Indonesia.
spellingShingle QA1-939 Mathematics
Awang, Norhashidah
Shitan, Mahendran
Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title_full Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title_fullStr Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title_full_unstemmed Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title_short Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
title_sort maximum; likelihood estimation for the non-separable spatial unilateral autoregressive model.
topic QA1-939 Mathematics
url http://eprints.usm.my/11688/
http://eprints.usm.my/11688/1/MAXIMUM_LIKELIHOOD_ESTIMATION_FOR_THE_NON-SEPARABLE_SPATIAL_UNILATERAL_AUTOREGRESSIVE_MODEL.pdf