A maximum likelihood estimation approach for spliced distributions obtained through quantile splicing
| dc.contributor.advisor | Otieno Mac'Oduol, Brenda | |
| dc.contributor.coadvisor | Van Staden, Paul J. | |
| dc.contributor.email | jeannelouisev9@gmail.com | en_US |
| dc.contributor.postgraduate | Van der Sande, Jeanne-Louise | |
| dc.date.accessioned | 2023-02-13T13:45:50Z | |
| dc.date.available | 2023-02-13T13:45:50Z | |
| dc.date.created | 2023-04 | |
| dc.date.issued | 2022-11-30 | |
| dc.description | Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2022. | en_US |
| dc.description.abstract | This mini-dissertation proposes constructing a family of spliced distributions at a point different from the median, hence k=1/4 instead of k=1/2, using the method of quantile splicing proposed by Mac'Oduol et al. (2020). General results of these families of distributions are developed and the maximum likelihood approach is explored and investigated for estimation purposes. Moreover, a numerical application is presented in order to illustrate the implementation and application of the proposed method. | en_US |
| dc.description.availability | Unrestricted | en_US |
| dc.description.degree | MSc (Advanced Data Analytics) | en_US |
| dc.description.department | Statistics | en_US |
| dc.identifier.citation | * | en_US |
| dc.identifier.other | A2023 | |
| dc.identifier.uri | https://repository.up.ac.za/handle/2263/89460 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Pretoria | |
| dc.rights | © 2022 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. | |
| dc.subject | Two-piece distribution | en_US |
| dc.subject | Quantile splicing | en_US |
| dc.subject | l-moment | en_US |
| dc.subject | Maximum likelihood estimation (MLE) | en_US |
| dc.subject | Quantile-based distributions | en_US |
| dc.subject | UCTD | |
| dc.title | A maximum likelihood estimation approach for spliced distributions obtained through quantile splicing | en_US |
| dc.type | Mini Dissertation | en_US |