Models for forecasting residential property prices using paired comparisons

Title: Models for forecasting residential property prices using paired comparisons
Creator: Mpapela, Sinazo
Subject: Paired comparisons (Statistics)
Subject: Statistics
Date Issued: 2014
Date: 2014
Type: Thesis
Type: Masters
Type: MSc
Identifier: http://hdl.handle.net/10948/5839
Identifier: vital:21006
Description: Residential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which combines information only on repeated residential sales regardless of the changes that has been made in the house in-between the sales. Additive and multiplicative models were used to forecast the residential property prices in Nelson Mandela Metropole. Data was collected from various sources and was reconciled into one data set for analysis through a process of data screening.
Format: ix, 112, 9 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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