Orthogonal models for cross-classified observations

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dc.contributor.advisorZucchini, Walteren_ZA
dc.contributor.authorBust, Regen_ZA
dc.date.accessioned2015-12-20T15:34:36Z
dc.date.available2015-12-20T15:34:36Z
dc.date.issued1987en_ZA
dc.descriptionIncludes bibliography.en_ZA
dc.description.abstractThis thesis describes methods of constructing models for cross-classified categorical data. In particular we discuss the construction of a class of approximating models and the selection of the most suitable model in the class. Examples of application are used to illustrate the methodology. The main purpose of the thesis is to demonstrate that it is both possible and advantageous to construct models which are specifically designed for the particular application under investigation. We believe that the methods described here allow the statistician to make good use of any expert knowledge which the client (typically a non-statistician) might possess on the subject to which the data relate.en_ZA
dc.identifier.apacitationBust, R. (1987). <i>Orthogonal models for cross-classified observations</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/15852en_ZA
dc.identifier.chicagocitationBust, Reg. <i>"Orthogonal models for cross-classified observations."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1987. http://hdl.handle.net/11427/15852en_ZA
dc.identifier.citationBust, R. 1987. Orthogonal models for cross-classified observations. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Bust, Reg AB - This thesis describes methods of constructing models for cross-classified categorical data. In particular we discuss the construction of a class of approximating models and the selection of the most suitable model in the class. Examples of application are used to illustrate the methodology. The main purpose of the thesis is to demonstrate that it is both possible and advantageous to construct models which are specifically designed for the particular application under investigation. We believe that the methods described here allow the statistician to make good use of any expert knowledge which the client (typically a non-statistician) might possess on the subject to which the data relate. DA - 1987 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1987 T1 - Orthogonal models for cross-classified observations TI - Orthogonal models for cross-classified observations UR - http://hdl.handle.net/11427/15852 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15852
dc.identifier.vancouvercitationBust R. Orthogonal models for cross-classified observations. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1987 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/15852en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Statisticsen_ZA
dc.subject.otherLinear models (Statistics)en_ZA
dc.titleOrthogonal models for cross-classified observationsen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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