The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research.

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dc.contributor.advisorTroskie, Casper Gen_ZA
dc.contributor.authorVan Deventer, Petrus Jacobus Uysen_ZA
dc.date.accessioned2014-07-31T08:11:09Z
dc.date.available2014-07-31T08:11:09Z
dc.date.issued1985en_ZA
dc.descriptionIncludes bibliography.
dc.description.abstractThe purpose of the procedures described is to assign “objects” or "observations" in some optimum fashion to one of two or more populations. In routine banking a bank manager may wish to classify clients who wish to make loans as low or high credit risks on the basis of the elements of certain accounting statements. In such a case there are two definite distinct classes. Another investigation may be initiated to determine whether buying habits are different with respect to the categories: urban, sub-urban and rural clients. Note that in the first example the classes are determined before any sample of observations is investigated, i.e. the sample results do not influence the choice of groups. In the latter case one is trespassing on the terrain of cluster analysis.In the first case we have two types of problems, namely that of devising a classification rule from samples of already classified objects and that of imposing the classification scheme on the objects. The term "discrimination" refers to the process of deriving classification rules from samples of classified objects and the term "classification" refers to applying the rules to knew objects of unknown class. Although it is possible to convert raw data into more easily grasped forms like cartoon faces (Chernoff, 1973) this still represents the problem that any grouping or classification based on these diagrams is subjective.en_ZA
dc.identifier.apacitationVan Deventer, P. J. U. (1985). <i>The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics. Retrieved from http://hdl.handle.net/11427/4941en_ZA
dc.identifier.chicagocitationVan Deventer, Petrus Jacobus Uys. <i>"The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 1985. http://hdl.handle.net/11427/4941en_ZA
dc.identifier.citationVan Deventer, P. 1985. The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Van Deventer, Petrus Jacobus Uys AB - The purpose of the procedures described is to assign “objects” or "observations" in some optimum fashion to one of two or more populations. In routine banking a bank manager may wish to classify clients who wish to make loans as low or high credit risks on the basis of the elements of certain accounting statements. In such a case there are two definite distinct classes. Another investigation may be initiated to determine whether buying habits are different with respect to the categories: urban, sub-urban and rural clients. Note that in the first example the classes are determined before any sample of observations is investigated, i.e. the sample results do not influence the choice of groups. In the latter case one is trespassing on the terrain of cluster analysis.In the first case we have two types of problems, namely that of devising a classification rule from samples of already classified objects and that of imposing the classification scheme on the objects. The term "discrimination" refers to the process of deriving classification rules from samples of classified objects and the term "classification" refers to applying the rules to knew objects of unknown class. Although it is possible to convert raw data into more easily grasped forms like cartoon faces (Chernoff, 1973) this still represents the problem that any grouping or classification based on these diagrams is subjective. DA - 1985 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1985 T1 - The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research TI - The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research UR - http://hdl.handle.net/11427/4941 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/4941
dc.identifier.vancouvercitationVan Deventer PJU. The applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 1985 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/4941en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Mathematics and Applied Mathematicsen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherApplied Mathematicsen_ZA
dc.titleThe applicability of discriminant analysis techniques on the multivariate normal and non-normal data types in marketing research.en_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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