On approximation and biasness of error concentration parameter for circular functional model

On approximation and biasness of error concentration parameter for circular functional model

This paper introduce a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the circular functional relationship model. The estimation of parameters for this model assume the ratio of the error concentration parameter is known and the available met...

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Main Author: Hussin, A.G.
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://eprints.um.edu.my/25039/1/On%20Approximation%20and%20Biasness%20of%20Error%20Concentration%20Parameter%20for%20Circular%20Functional%20Model.pdf
http://eprints.um.edu.my/25039/
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Institution: Universiti Malaya
Language: English
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spelling my.um.eprints.250392020-07-13T01:17:27Z http://eprints.um.edu.my/25039/ On approximation and biasness of error concentration parameter for circular functional model Hussin, A.G. Q Science (General) QA Mathematics This paper introduce a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the circular functional relationship model. The estimation of parameters for this model assume the ratio of the error concentration parameter is known and the available method can only be applied when the ratio is equal to one or when we have an equal error concentration parameter. This new proposed procedure is based on the asymptotic power series of the modified Basel function of the first kind and order zero and it is shown that it can be applied for any value of the ratio of the error concentration parameter. 2007 Conference or Workshop Item PeerReviewed text en http://eprints.um.edu.my/25039/1/On%20Approximation%20and%20Biasness%20of%20Error%20Concentration%20Parameter%20for%20Circular%20Functional%20Model.pdf Hussin, A.G. (2007) On approximation and biasness of error concentration parameter for circular functional model. In: International Conference on Mathematics: Trends and Developments, 27-30 December 2007, Cairo, Egypt. (Unpublished)
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 Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Hussin, A.G.
On approximation and biasness of error concentration parameter for circular functional model
description This paper introduce a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the circular functional relationship model. The estimation of parameters for this model assume the ratio of the error concentration parameter is known and the available method can only be applied when the ratio is equal to one or when we have an equal error concentration parameter. This new proposed procedure is based on the asymptotic power series of the modified Basel function of the first kind and order zero and it is shown that it can be applied for any value of the ratio of the error concentration parameter.
format Conference or Workshop Item
author Hussin, A.G.
author_facet Hussin, A.G.
author_sort Hussin, A.G.
title On approximation and biasness of error concentration parameter for circular functional model
title_short On approximation and biasness of error concentration parameter for circular functional model
title_full On approximation and biasness of error concentration parameter for circular functional model
title_fullStr On approximation and biasness of error concentration parameter for circular functional model
title_full_unstemmed On approximation and biasness of error concentration parameter for circular functional model
title_sort on approximation and biasness of error concentration parameter for circular functional model
publishDate 2007
url http://eprints.um.edu.my/25039/1/On%20Approximation%20and%20Biasness%20of%20Error%20Concentration%20Parameter%20for%20Circular%20Functional%20Model.pdf
http://eprints.um.edu.my/25039/
_version_ 1680856995303784448

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