Outlier detection in cylindrical data / Nurul Hidayah Sadikon

A cylindrical data set consists of a circular and a linear variables. Few distributions have been proposed for such data pioneered by Johnson and Wehrly (1978). In this study, we look at two problems of detecting outliers in cylindrical data. Firstly, we define outlier in cylindrical data and pro...

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Main Author: Nurul Hidayah , Sadikon
Format: Thesis
Published: 2018
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Online Access:http://studentsrepo.um.edu.my/9371/1/Nurul_Hidayah_Sadikon.pdf
http://studentsrepo.um.edu.my/9371/6/hidayah.pdf
http://studentsrepo.um.edu.my/9371/
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spelling my.um.stud.93712021-05-17T00:24:59Z Outlier detection in cylindrical data / Nurul Hidayah Sadikon Nurul Hidayah , Sadikon Q Science (General) QA Mathematics A cylindrical data set consists of a circular and a linear variables. Few distributions have been proposed for such data pioneered by Johnson and Wehrly (1978). In this study, we look at two problems of detecting outliers in cylindrical data. Firstly, we define outlier in cylindrical data and propose a new test of discordancy to detect outlier in cylindrical data generated from Johnson-Wehrly distribution. Secondly, we focus on detecting outliers in Johnson-Wehrly circular-linear regression model. In both cases, the outlier detection procedures are developed using the k-nearest neighbor distance. The cut-off points are obtained and the performance of the new statistic is examined via simulation. A practical example is presented using the wind data set from the Malaysian Meteorological Department. The findings of the study should lead to better inferences, model fitting and forecasting of cylindrical data sets. 2018-04 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/9371/1/Nurul_Hidayah_Sadikon.pdf application/pdf http://studentsrepo.um.edu.my/9371/6/hidayah.pdf Nurul Hidayah , Sadikon (2018) Outlier detection in cylindrical data / Nurul Hidayah Sadikon. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/9371/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Nurul Hidayah , Sadikon
Outlier detection in cylindrical data / Nurul Hidayah Sadikon
description A cylindrical data set consists of a circular and a linear variables. Few distributions have been proposed for such data pioneered by Johnson and Wehrly (1978). In this study, we look at two problems of detecting outliers in cylindrical data. Firstly, we define outlier in cylindrical data and propose a new test of discordancy to detect outlier in cylindrical data generated from Johnson-Wehrly distribution. Secondly, we focus on detecting outliers in Johnson-Wehrly circular-linear regression model. In both cases, the outlier detection procedures are developed using the k-nearest neighbor distance. The cut-off points are obtained and the performance of the new statistic is examined via simulation. A practical example is presented using the wind data set from the Malaysian Meteorological Department. The findings of the study should lead to better inferences, model fitting and forecasting of cylindrical data sets.
format Thesis
author Nurul Hidayah , Sadikon
author_facet Nurul Hidayah , Sadikon
author_sort Nurul Hidayah , Sadikon
title Outlier detection in cylindrical data / Nurul Hidayah Sadikon
title_short Outlier detection in cylindrical data / Nurul Hidayah Sadikon
title_full Outlier detection in cylindrical data / Nurul Hidayah Sadikon
title_fullStr Outlier detection in cylindrical data / Nurul Hidayah Sadikon
title_full_unstemmed Outlier detection in cylindrical data / Nurul Hidayah Sadikon
title_sort outlier detection in cylindrical data / nurul hidayah sadikon
publishDate 2018
url http://studentsrepo.um.edu.my/9371/1/Nurul_Hidayah_Sadikon.pdf
http://studentsrepo.um.edu.my/9371/6/hidayah.pdf
http://studentsrepo.um.edu.my/9371/
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score 13.211869