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A comparative study of stochastic models in biology
In many instances, problems that arise in biology do not fall under any category for which standard statistical techniques are available to be able to analyse them. Under these situations, specifics methods have to be developed to solve and answer questions put forward by biologists. In this thesis...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2020
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| _version_ | 1867613300330594304 |
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| access_status_str | Open Access |
| author | Brandão, Anabela de Gusmão |
| author2 | Zucchini, Walter |
| author_browse | Brandão, Anabela de Gusmão Zucchini, Walter |
| author_facet | Zucchini, Walter Brandão, Anabela de Gusmão |
| author_sort | Brandão, Anabela de Gusmão |
| collection | Thesis |
| description | In many instances, problems that arise in biology do not fall under any category for which standard statistical techniques are available to be able to analyse them. Under these situations, specifics methods have to be developed to solve and answer questions put forward by biologists. In this thesis four different problems occurring in biology are investigated. A stochastic model is built in each case which describes the problem at hand. These models are not only effective as a description tool but also afford strategies consistent with conventional model selection processes to deal with the standard statistical hypothesis testing situations. The abstracts of the papers resulting from these problems are presented below. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/31768 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:57.504Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/31768 A comparative study of stochastic models in biology Brandão, Anabela de Gusmão Zucchini, Walter Underhill, Les Statistical Sciences In many instances, problems that arise in biology do not fall under any category for which standard statistical techniques are available to be able to analyse them. Under these situations, specifics methods have to be developed to solve and answer questions put forward by biologists. In this thesis four different problems occurring in biology are investigated. A stochastic model is built in each case which describes the problem at hand. These models are not only effective as a description tool but also afford strategies consistent with conventional model selection processes to deal with the standard statistical hypothesis testing situations. The abstracts of the papers resulting from these problems are presented below. 2020-05-05T07:08:28Z 2020-05-05T07:08:28Z 1997 2020-05-04T09:15:07Z Doctoral Thesis Doctoral https://hdl.handle.net/11427/31768 eng application/pdf Department of Statistical Sciences Faculty of Science |
| spellingShingle | Statistical Sciences Brandão, Anabela de Gusmão A comparative study of stochastic models in biology |
| thesis_degree_str | Doctoral |
| title | A comparative study of stochastic models in biology |
| title_full | A comparative study of stochastic models in biology |
| title_fullStr | A comparative study of stochastic models in biology |
| title_full_unstemmed | A comparative study of stochastic models in biology |
| title_short | A comparative study of stochastic models in biology |
| title_sort | comparative study of stochastic models in biology |
| topic | Statistical Sciences |
| url | https://hdl.handle.net/11427/31768 |
| work_keys_str_mv | AT brandaoanabeladegusmao acomparativestudyofstochasticmodelsinbiology AT brandaoanabeladegusmao comparativestudyofstochasticmodelsinbiology |