Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia

Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia

In this paper, four types of circular probability distribution were used to evaluate which circular probability distribution gives the best fitting for southwesterly Malaysian wind direction data, namely circular uniform distribution, von Mises distribution, wrapped-normal distribution and wrapped-C...

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Main Authors: Nur Arina Basilah Kamisan, Abdul Ghapor Hussin, Yong Zulina Zubairi
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2010
Online Access:http://journalarticle.ukm.my/7348/
http://journalarticle.ukm.my/7348/
http://journalarticle.ukm.my/7348/1/01_Md_Yeaminhossain.pdf
id ukm-7348
recordtype eprints
spelling ukm-73482016-12-14T06:43:48Z http://journalarticle.ukm.my/7348/ Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia Nur Arina Basilah Kamisan, Abdul Ghapor Hussin, Yong Zulina Zubairi, In this paper, four types of circular probability distribution were used to evaluate which circular probability distribution gives the best fitting for southwesterly Malaysian wind direction data, namely circular uniform distribution, von Mises distribution, wrapped-normal distribution and wrapped-Cauchy distribution. The four locations chosen were Alor Setar, Langkawi, Melaka and Senai. Two performance indicators or goodness of fit tests which are mean circular distance and chord length were used to test which distribution give the best fitting. Universiti Kebangsaan Malaysia 2010-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7348/1/01_Md_Yeaminhossain.pdf Nur Arina Basilah Kamisan, and Abdul Ghapor Hussin, and Yong Zulina Zubairi, (2010) Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia. Sains Malaysiana, 39 (3). pp. 387-393. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol39num3_2010/contentsVol39num3_2010.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
description In this paper, four types of circular probability distribution were used to evaluate which circular probability distribution gives the best fitting for southwesterly Malaysian wind direction data, namely circular uniform distribution, von Mises distribution, wrapped-normal distribution and wrapped-Cauchy distribution. The four locations chosen were Alor Setar, Langkawi, Melaka and Senai. Two performance indicators or goodness of fit tests which are mean circular distance and chord length were used to test which distribution give the best fitting.
format Article
author Nur Arina Basilah Kamisan,
Abdul Ghapor Hussin,
Yong Zulina Zubairi,
spellingShingle Nur Arina Basilah Kamisan,
Abdul Ghapor Hussin,
Yong Zulina Zubairi,
Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
author_facet Nur Arina Basilah Kamisan,
Abdul Ghapor Hussin,
Yong Zulina Zubairi,
author_sort Nur Arina Basilah Kamisan,
title Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
title_short Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
title_full Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
title_fullStr Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
title_full_unstemmed Finding the best circular distribution for southwesterly monsoon wind direction in Malaysia
title_sort finding the best circular distribution for southwesterly monsoon wind direction in malaysia
publisher Universiti Kebangsaan Malaysia
publishDate 2010
url http://journalarticle.ukm.my/7348/
http://journalarticle.ukm.my/7348/
http://journalarticle.ukm.my/7348/1/01_Md_Yeaminhossain.pdf
first_indexed 2023-09-18T19:49:28Z
last_indexed 2023-09-18T19:49:28Z
_version_ 1777406122375774208

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