A contribution to adaptive robust estimation

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dc.contributor.advisorMoney, A Hen_ZA
dc.contributor.advisorAffleck-Graves , J Fen_ZA
dc.contributor.advisorHart, M Len_ZA
dc.contributor.advisoren_ZA
dc.contributor.authorBarr, Graham Douglas Irvingen_ZA
dc.date.accessioned2014-12-06T06:37:11Z
dc.date.available2014-12-06T06:37:11Z
dc.date.issued1981en_ZA
dc.descriptionIncludes bibliography.en_ZA
dc.description.abstractThis study initially set out to consider the possibility of constructing an adaptive robust estimation procedure for the standard linear regression model when the disturbance vector deviated from normality, however, after the initial success in that field it seemed only appropriate that the approach be extended to robust location parameter estimation. This is a particular case of the regression model and an area in which a number of different estimators have been proposed and a great deal of comparative research work done. Due to the wider scope of such research the greater part of the thesis is devoted to this field of research which led to many interesting and useful results and conclusions.en_ZA
dc.identifier.apacitationBarr, G. D. I. (1981). <i>A contribution to adaptive robust estimation</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/9905en_ZA
dc.identifier.chicagocitationBarr, Graham Douglas Irving. <i>"A contribution to adaptive robust estimation."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1981. http://hdl.handle.net/11427/9905en_ZA
dc.identifier.citationBarr, G. 1981. A contribution to adaptive robust estimation. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Barr, Graham Douglas Irving AB - This study initially set out to consider the possibility of constructing an adaptive robust estimation procedure for the standard linear regression model when the disturbance vector deviated from normality, however, after the initial success in that field it seemed only appropriate that the approach be extended to robust location parameter estimation. This is a particular case of the regression model and an area in which a number of different estimators have been proposed and a great deal of comparative research work done. Due to the wider scope of such research the greater part of the thesis is devoted to this field of research which led to many interesting and useful results and conclusions. DA - 1981 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1981 T1 - A contribution to adaptive robust estimation TI - A contribution to adaptive robust estimation UR - http://hdl.handle.net/11427/9905 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9905
dc.identifier.vancouvercitationBarr GDI. A contribution to adaptive robust estimation. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 1981 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9905en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Statisticsen_ZA
dc.titleA contribution to adaptive robust estimationen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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