Performances of Ordinary and Generalized Least Squares Estimators on Multiple Linear Regression Models with Heteroscedasticity

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dc.contributor.authorAdejumo, Adebowale Olusola
dc.contributor.authorJob, O
dc.contributor.authorIsaac, T. D
dc.contributor.authorOyejola, B. A
dc.date.accessioned2018-12-18T09:06:22Z
dc.date.available2018-12-18T09:06:22Z
dc.date.issued2016-09-13
dc.description.sponsorshipSelfen_US
dc.identifier.citationAdejumo, A. O; Job, O.; Isaac, T. D and Oyejola, B. A. (2016). Performances of Ordinary and Generalized Least Squares Estimators on Multiple Linear Regression Models with Heteroscedasticity. Pacific Journal of Science and Technology. 17(1), 68 - 78. Published by Akama University USA. http://www.akamaiuniversity.us/PJST17_1_68.pdfen_US
dc.identifier.urihttp://hdl.handle.net/123456789/1405
dc.language.isoenen_US
dc.publisherAkama University USAen_US
dc.relation.ispartofseries17(1);68 - 78
dc.subjectheteroscedasticityen_US
dc.subjectordinary least squaresen_US
dc.subjectgeneralized least squaresen_US
dc.subjectstochastic error termen_US
dc.subjectmagnitudeen_US
dc.subjectcharacterizationen_US
dc.subjectMonte Carloen_US
dc.subjectsimulationen_US
dc.titlePerformances of Ordinary and Generalized Least Squares Estimators on Multiple Linear Regression Models with Heteroscedasticityen_US
dc.typeArticleen_US

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