Statistical modelling applied to perceptions of fraud

Title: Statistical modelling applied to perceptions of fraud
Creator: Mnci, Mihlali
Subject: Mathematical statistics Statistics
Subject: Mathematical models Bank fraud Banks and banking -- Security measures
Date Issued: 2017
Date: 2017
Type: Thesis
Type: Masters
Type: MSc
Identifier: http://hdl.handle.net/10948/41073
Identifier: vital:36289
Description: This study aims to investigate and identify attitudes, behaviours and perceptions harboured by bank cardholders and merchants, which are associated with a higher susceptibility towards experiencing bank card fraud. Primary data was obtained from bank cardholders and merchants, from various business categories, in both the Nelson Mandela Bay Metropolitan Municipality and the City of Johannesburg Metropolitan Municipality. Following the use of parametric Multinomial Logistic Regression (MLR) and nonparametric conditional density estimation to analyse the data, the results are compared and relevant covariates/perceptions are determined from the more accurate of the two techniques. The results of the analysed survey data serve as a tool, highlighting areas which require further education and awareness on the part of merchants and bank clients.
Format: viii, 160 leaves
Format: pdf
Publisher: Nelson Mandela Metropolitan University
Publisher: Faculty of Science
Language: English
Rights: Nelson Mandela Metropolitan University

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NMMU School of Computer Science, Mathematics, Physics and Statistics

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