Parameter estimation and outlier detection for some types of circular model

This study focuses on the parameter estimation and outlier detection for some types of the circular model. We first look at the concentration parameter of von Mises distribution. The von Mises distribution is the most commonly used probability distribution of a circular random variable, and the con...

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Main Author: Siti Zanariah, Satari
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14057/
http://umpir.ump.edu.my/id/eprint/14057/19/Parameter%20estimation%20and%20outlier%20detection%20for%20some%20types%20of%20circular%20model.pdf
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author Siti Zanariah, Satari
author_facet Siti Zanariah, Satari
author_sort Siti Zanariah, Satari
building UMP Institutional Repository
collection Online Access
description This study focuses on the parameter estimation and outlier detection for some types of the circular model. We first look at the concentration parameter of von Mises distribution. The von Mises distribution is the most commonly used probability distribution of a circular random variable, and the concentration of a circular data set is measured using the mean resultant length. We propose a new and efficient approximation of the concentration parameter estimates using two approaches, namely, the roots of a polynomial function and minimizing the negative value of the log-likelihood function in this study.
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format Thesis
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institution Universiti Malaysia Pahang
institution_category Local University
language English
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publishDate 2015
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spelling ump-140572021-11-17T04:29:57Z http://umpir.ump.edu.my/id/eprint/14057/ Parameter estimation and outlier detection for some types of circular model Siti Zanariah, Satari QA Mathematics This study focuses on the parameter estimation and outlier detection for some types of the circular model. We first look at the concentration parameter of von Mises distribution. The von Mises distribution is the most commonly used probability distribution of a circular random variable, and the concentration of a circular data set is measured using the mean resultant length. We propose a new and efficient approximation of the concentration parameter estimates using two approaches, namely, the roots of a polynomial function and minimizing the negative value of the log-likelihood function in this study. 2015 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/14057/19/Parameter%20estimation%20and%20outlier%20detection%20for%20some%20types%20of%20circular%20model.pdf Siti Zanariah, Satari (2015) Parameter estimation and outlier detection for some types of circular model. PhD thesis, University of Malaya (Contributors, UNSPECIFIED: UNSPECIFIED).
spellingShingle QA Mathematics
Siti Zanariah, Satari
Parameter estimation and outlier detection for some types of circular model
title Parameter estimation and outlier detection for some types of circular model
title_full Parameter estimation and outlier detection for some types of circular model
title_fullStr Parameter estimation and outlier detection for some types of circular model
title_full_unstemmed Parameter estimation and outlier detection for some types of circular model
title_short Parameter estimation and outlier detection for some types of circular model
title_sort parameter estimation and outlier detection for some types of circular model
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/14057/
http://umpir.ump.edu.my/id/eprint/14057/19/Parameter%20estimation%20and%20outlier%20detection%20for%20some%20types%20of%20circular%20model.pdf