Application of non-linear regression to car ownership in Johannesburg

dc.contributor.authorKelly, John
dc.contributor.otherSouthern African Transport Conference (28th : 2009 : Pretoria, South Africa)
dc.date.accessioned2009-11-19T10:27:45Z
dc.date.available2009-11-19T10:27:45Z
dc.date.issued2009-07-06
dc.descriptionThis paper was transferred from the original CD ROM created for this conference. The material was published using Adobe Acrobat 8.0 Technology. The original CD ROM was produced by Document Transformation Technologies Postal Address: PO Box 560 Irene 0062 South Africa. Tel.: +27 12 667 2074 Fax: +27 12 667 2766 E-mail: nigel@doctech URL: http://www.doctech.co.zaen_US
dc.description.abstractPaper presented at the 28th Annual Southern African Transport Conference 6 - 9 July 2009 "Sustainable Transport", CSIR International Convention Centre, Pretoria, South Africa.en_US
dc.description.abstractAn optimal smoothing algorithm is developed and applied to Moving SA (Johannesburg) data. Non-Linear regression is applied successfully to the Moving SA data. Values of 437.4 for saturation (vehicleslk.capita), 0.04569 for growth parameter (per annum frequency), and 1979.77 (years) for point of maximum growth are obtained. A correlation of +0.9647 with the raw data was achieved. The soundness of the statistical inference is demonstrated by showing the bias and trend of the model error term to be statistically indistinguishable from zero. Inner bounds on the confidence intervals for small sample non-linear regression are constructed for the predicted values.en_US
dc.identifier.citationKelly, J 2009, 'Application of non-linear regression to car ownership in Johannesburg', Paper presented to the 28th Annual Southern African Transport Conference, South Africa, 6-9 July. p. 53-64en_US
dc.identifier.isbn9781920017392
dc.identifier.urihttp://hdl.handle.net/2263/11951
dc.language.isoenen_US
dc.publisherDocument Transformation Technologiesen_US
dc.relation.ispartofSATC 2009
dc.rightsUniversity of Pretoriaen_US
dc.subjectSustainable transporten_US
dc.subjectMoving SAen_US
dc.subjectJohannesburgen_US
dc.subjectStatistical inferenceen_US
dc.subject.lcshTransportation
dc.subject.lcshTransportation -- South Africa -- Congresses
dc.subject.lcshAlgorithm
dc.subject.lcshNon-linear
dc.subject.lcshMathematical statistics
dc.titleApplication of non-linear regression to car ownership in Johannesburgen_US
dc.typeEventen_US
dc.typePresentationen_US

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