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Simultaneous linear circular functional relationship model

This paper proposed the statistical model on how to look at the relationship between several circular variables which area subject to measurement errors. Maximum likelihood estimation of parameters has been obtained iteratively assuming the ratio of concentration parameters are known and by choosing...

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Main Authors: Hussin, A.G., Zubairi, Y.Z., Hassan, S.F.
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
QA Mathematics
Online Access:http://eprints.um.edu.my/9326/1/All.pdf
http://eprints.um.edu.my/9326/
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id my.um.eprints.9326
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spelling my.um.eprints.93262014-12-31T08:33:25Z http://eprints.um.edu.my/9326/ Simultaneous linear circular functional relationship model Hussin, A.G. Zubairi, Y.Z. Hassan, S.F. QA Mathematics This paper proposed the statistical model on how to look at the relationship between several circular variables which area subject to measurement errors. Maximum likelihood estimation of parameters has been obtained iteratively assuming the ratio of concentration parameters are known and by choosing suitable initial values. The variance and covariance have also been derived using the Fisher information matrix. The model was applied to the Malaysian wind direction recorded at various levels. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.um.edu.my/9326/1/All.pdf Hussin, A.G. and Zubairi, Y.Z. and Hassan, S.F. (2008) Simultaneous linear circular functional relationship model. In: International Conference on Recent Development in Statistical Sciences, 26-27 Dec 2008, Dhaka, Bangladesh. (Submitted)
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Hussin, A.G.
Zubairi, Y.Z.
Hassan, S.F.
Simultaneous linear circular functional relationship model
description This paper proposed the statistical model on how to look at the relationship between several circular variables which area subject to measurement errors. Maximum likelihood estimation of parameters has been obtained iteratively assuming the ratio of concentration parameters are known and by choosing suitable initial values. The variance and covariance have also been derived using the Fisher information matrix. The model was applied to the Malaysian wind direction recorded at various levels.
format Conference or Workshop Item
author Hussin, A.G.
Zubairi, Y.Z.
Hassan, S.F.
author_facet Hussin, A.G.
Zubairi, Y.Z.
Hassan, S.F.
author_sort Hussin, A.G.
title Simultaneous linear circular functional relationship model
title_short Simultaneous linear circular functional relationship model
title_full Simultaneous linear circular functional relationship model
title_fullStr Simultaneous linear circular functional relationship model
title_full_unstemmed Simultaneous linear circular functional relationship model
title_sort simultaneous linear circular functional relationship model
publishDate 2008
url http://eprints.um.edu.my/9326/1/All.pdf
http://eprints.um.edu.my/9326/
_version_ 1643688532916568064
score 13.251813

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