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Construction and parameter estimation of wrapped normal models

Dissertation (MSc)--University of Pretoria, 2019.

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Other Authors: Loots, Mattheus Theodor
Format: Thesis
Language:English
Published: University of Pretoria 2020
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access_status_str Open Access
author2 Loots, Mattheus Theodor
author_browse Loots, Mattheus Theodor
author_facet Loots, Mattheus Theodor
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2019.
format Thesis
id oai:repository.up.ac.za:2263/77880
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:24.530Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/77880 Construction and parameter estimation of wrapped normal models Loots, Mattheus Theodor u13040911@tuks.co.za Roux, Hannaline UCTD Wrapped skew-normal Wrapped exible generalised skew-normal Trigonometric moments Maximum likelihood estimation (MLE) Dissertation (MSc)--University of Pretoria, 2019. If a known distribution on a real line is given, it can be wrapped on the circumference of a unit circle. This research entails the study of a univariate skew-normal distribution where the skew-normal distribution is generalised for the case of bimodality. Both the skew-normal and flexible generalised skew-normal distributions are wrapped onto a unit circle, consequently referred to as a wrapped skew-normal and a wrapped flexible generalised skew-normal distribution respectively. For each of these distributions a simulation study is conducted, where the performance of maximum likelihood estimation is evaluated. Skew scale mixtures of normal distributions with the wrapped version of these distributions are proposed and graphical representations are provided. These distributions are also compared in an application to wind direction data. Statistics MSc Unrestricted 2020-12-29T11:51:02Z 2020-12-29T11:51:02Z 2020/04/16 2019 Dissertation Roux, H 2019, Construction and parameter estimation of wrapped normal models, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/77880> A2020 http://hdl.handle.net/2263/77880 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Wrapped skew-normal
Wrapped exible generalised skew-normal
Trigonometric moments
Maximum likelihood estimation (MLE)
Construction and parameter estimation of wrapped normal models
title Construction and parameter estimation of wrapped normal models
title_full Construction and parameter estimation of wrapped normal models
title_fullStr Construction and parameter estimation of wrapped normal models
title_full_unstemmed Construction and parameter estimation of wrapped normal models
title_short Construction and parameter estimation of wrapped normal models
title_sort construction and parameter estimation of wrapped normal models
topic UCTD
Wrapped skew-normal
Wrapped exible generalised skew-normal
Trigonometric moments
Maximum likelihood estimation (MLE)
url http://hdl.handle.net/2263/77880