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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/92910
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dc.date.accessioned2022-04-04T09:30:10Z-
dc.date.available2022-04-04T09:30:10Z-
dc.date.issued2011-
dc.identifier.citationPorto, L. (2011). Alternative statistical techniques for the analysis of customers' satisfaction : factor analysis vs mixtures and shifted binomial models (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/92910-
dc.descriptionB.SC.(HONS)STATS.&OP.RESEARCHen_GB
dc.description.abstractThe aim of this dissertation is to study and apply statistical methods which can be used to analyze the categorical data obtained from the Farmers' Market survey. A typical approach in such situations is factor analysis, which we notice throughout our application that it isn't the best option to be used for such an analysis. To overcome this shortcoming we will introduce a mixture of a uniform and shifted binomial (MUB) model, which was originally created to be applied in this kind of analysis. This MUB model will also be used to confirm or contradict the results obtained from our factor analysis. In conclusion, we will consider the relationship between our models and the respondents' profile variables.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectStatisticsen_GB
dc.subjectFarmers' markets -- Maltaen_GB
dc.subjectBinomial theoremen_GB
dc.subjectFactor analysisen_GB
dc.subjectConsumers' preferences -- Maltaen_GB
dc.titleAlternative statistical techniques for the analysis of customers' satisfaction : factor analysis vs mixtures and shifted binomial modelsen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Science. Department of Statistics and Operations Researchen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorPorto, Luigi (2011)-
Appears in Collections:Dissertations - FacSci - 1965-2014
Dissertations - FacSciSOR - 2000-2014

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