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A robust simulation to compare meaningful batting averages in cricket
Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613653436465152 |
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| access_status_str | Open Access |
| author2 | Van Staden, Paul J. |
| author_browse | Van Staden, Paul J. |
| author_facet | Van Staden, Paul J. |
| collection | Thesis |
| dc_rights_str_mv | © 2023 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 | Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/94482 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:34.197Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| 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:2263/94482 A robust simulation to compare meaningful batting averages in cricket Van Staden, Paul J. u17150818@tuks.co.za Fabris-Rotelli, Inger Nicolette Vorster, Johannes S. UCTD Statistics Cricket Smoothed bootstrap Batting average Adjusted measures Women's cricket Sustainable development goals (SDGs) SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 SDG-05: Gender equality Natural and agricultural sciences theses SDG-05 SDG-10: Reduced inequalities Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2023. In cricket, the traditional batting average is the most common measure of a cricket player’s batting performance. However, the batting average can easily be inflated by a high number of not-out innings. Therefore, in this research eight alternative methods are used and compared to the traditional batting average to estimate the true batting average. It is also known that there is a range of different batters within a cricket team, namely first order, middle order, tail-enders and a special class of players who can both bat and bowl known as all-rounders. There are also different formats of international cricket, namely Test, One-Day International (ODI), and Twenty20 International (T20I) cricket, where Test cricket has unlimited overs compared to the limited overs of ODI and T20I cricket. A method for estimating the batting average should be able to account for this variability. The chosen method should also work for a player’s career as well as a short series or tournament. By using the traditional bootstrap and the smoothed bootstrap in this study, the variability of each estimation method is compared for a player’s career and a series or tournament, respectively. An R Shiny application introduces alternative cricket batting performance measures, enabling accessible analysis beyond the conventional average for a comprehensive understanding of player capabilities. UP Postgraduate Bursary Statistics MSc (Advanced Data Analytics) Restricted Faculty of Natural and Agricultural Sciences 2024-02-12T09:24:55Z 2024-02-12T09:24:55Z 2024-05-14 2023-11-17 Mini Dissertation * A2024 http://hdl.handle.net/2263/94482 10.25403/UPresearchdata.25146053 en © 2023 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 Statistics Cricket Smoothed bootstrap Batting average Adjusted measures Women's cricket Sustainable development goals (SDGs) SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 SDG-05: Gender equality Natural and agricultural sciences theses SDG-05 SDG-10: Reduced inequalities A robust simulation to compare meaningful batting averages in cricket |
| title | A robust simulation to compare meaningful batting averages in cricket |
| title_full | A robust simulation to compare meaningful batting averages in cricket |
| title_fullStr | A robust simulation to compare meaningful batting averages in cricket |
| title_full_unstemmed | A robust simulation to compare meaningful batting averages in cricket |
| title_short | A robust simulation to compare meaningful batting averages in cricket |
| title_sort | robust simulation to compare meaningful batting averages in cricket |
| topic | UCTD Statistics Cricket Smoothed bootstrap Batting average Adjusted measures Women's cricket Sustainable development goals (SDGs) SDG-03: Good health and well-being Natural and agricultural sciences theses SDG-03 SDG-05: Gender equality Natural and agricultural sciences theses SDG-05 SDG-10: Reduced inequalities |
| url | http://hdl.handle.net/2263/94482 |