A comparative study of stochastic models in biology

dc.contributor.advisorZucchini, Walter
dc.contributor.advisorUnderhill, Les
dc.contributor.authorBrandão, Anabela de Gusmão
dc.date.accessioned2020-05-05T07:08:28Z
dc.date.available2020-05-05T07:08:28Z
dc.date.issued1997
dc.date.updated2020-05-04T09:15:07Z
dc.description.abstractIn 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.
dc.identifier.apacitationBrandão, A. d. G. (1997). <i>A comparative study of stochastic models in biology</i>. (). ,Faculty of Science ,Department of Statistical Sciences. Retrieved from en_ZA
dc.identifier.chicagocitationBrandão, Anabela de Gusmão. <i>"A comparative study of stochastic models in biology."</i> ., ,Faculty of Science ,Department of Statistical Sciences, 1997. en_ZA
dc.identifier.citationBrandão, A.d.G. 1997. A comparative study of stochastic models in biology. . ,Faculty of Science ,Department of Statistical Sciences. en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Brandão, Anabela de Gusmão AB - 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. DA - 1997 DB - OpenUCT DP - University of Cape Town KW - Statistical Sciences LK - https://open.uct.ac.za PY - 1997 T1 - A comparative study of stochastic models in biology TI - A comparative study of stochastic models in biology UR - ER - en_ZA
dc.identifier.urihttps://hdl.handle.net/11427/31768
dc.identifier.vancouvercitationBrandão AdG. A comparative study of stochastic models in biology. []. ,Faculty of Science ,Department of Statistical Sciences, 1997 [cited yyyy month dd]. Available from: en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Statistical Sciences
dc.publisher.facultyFaculty of Science
dc.subjectStatistical Sciences
dc.titleA comparative study of stochastic models in biology
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
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