Approximation of error concentration parameter for simultaneous circular functional model

In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error...

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Main Authors: Hussin, A.G., Hassan, S.F., Zubairi, Y.Z., Zaharim, A., Sopian, K.
Format: Conference or Workshop Item
Published: 2008
Subjects:
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author Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
author_facet Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
author_sort Hussin, A.G.
collection UM
description In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure.
first_indexed 2024-03-06T05:07:48Z
format Conference or Workshop Item
id um.eprints-2316
institution Universiti Malaya
last_indexed 2024-03-06T05:07:48Z
publishDate 2008
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spelling um.eprints-23162011-12-12T04:03:45Z http://eprints.um.edu.my/2316/ Approximation of error concentration parameter for simultaneous circular functional model Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. QA75 Electronic computers. Computer science In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure. 2008 Conference or Workshop Item PeerReviewed Hussin, A.G. and Hassan, S.F. and Zubairi, Y.Z. and Zaharim, A. and Sopian, K. (2008) Approximation of error concentration parameter for simultaneous circular functional model. In: 13th WSEAS International Conference on APPLIED MATHEMATICS, DEC 15-17, 2008, Puerto de la Cruz, SPAIN . http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=P2GFILFnN4KhbKEeDh@&page=21&doc=210&cacheurlFromRightClick=no
spellingShingle QA75 Electronic computers. Computer science
Hussin, A.G.
Hassan, S.F.
Zubairi, Y.Z.
Zaharim, A.
Sopian, K.
Approximation of error concentration parameter for simultaneous circular functional model
title Approximation of error concentration parameter for simultaneous circular functional model
title_full Approximation of error concentration parameter for simultaneous circular functional model
title_fullStr Approximation of error concentration parameter for simultaneous circular functional model
title_full_unstemmed Approximation of error concentration parameter for simultaneous circular functional model
title_short Approximation of error concentration parameter for simultaneous circular functional model
title_sort approximation of error concentration parameter for simultaneous circular functional model
topic QA75 Electronic computers. Computer science
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AT hassansf approximationoferrorconcentrationparameterforsimultaneouscircularfunctionalmodel
AT zubairiyz approximationoferrorconcentrationparameterforsimultaneouscircularfunctionalmodel
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