GENERALISED LYNCH MULTIVARIATE REGRESSION ESTIMATORS WITH ft.PARAMETERS OF ORDER 1/n

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dc.contributor.authorAdewara, A. A.
dc.contributor.authorJob, O.
dc.contributor.authorAbidoye, A. O.
dc.contributor.authorOyeyemi, G.M.
dc.date.accessioned2018-11-28T13:52:24Z
dc.date.available2018-11-28T13:52:24Z
dc.date.issued2008
dc.description.abstractIn this paper, several authors have proposed ratio type estimators which utilized data from several auxiliary variates that involves the use of unknown weights which have to be estimated but Lynch proposed a multivariate regression estimator when there are two auxiliary variates (x-varaiates) which was found to be better and preferred, even to the conventional mean estimate. In this paper, we proposed multivariate regession estimators with k-parameters of order 1/n as used by Lynch. Two data sets called Populations l and 2 were used to justify this research work. While Population I is based on the total monthly income and total monthly expenditure on food, rent, clothing, transportation and miscellaneous of 86 occupants of Kubwa Federal Housing Authority, Phase lV Estate, Abuja, Nigeria, Population 2 is based on the total monthly income and total monthly expenditure on food, rent, clothing, transportation and miscellaneous of 95 occupants of Gwarinpa Il Estate, Abuja ,Nigeria and it was observed that as ,k-parameters increases, our * multivariate regression estimate becomes smaller and better which makes the highest k-parameter multivariate regression estimator to be preferreden_US
dc.identifier.urihttp://hdl.handle.net/123456789/1238
dc.language.isoenen_US
dc.publisherICASTOR, Indiaen_US
dc.relation.ispartofseriesJournal of Mathematical Sciences;vol.19,No.2,
dc.subjectMultivariate,regressionen_US
dc.subjectestimatoren_US
dc.subjectparameteren_US
dc.subjectorderen_US
dc.subjectmeanen_US
dc.subjectvarianceen_US
dc.titleGENERALISED LYNCH MULTIVARIATE REGRESSION ESTIMATORS WITH ft.PARAMETERS OF ORDER 1/nen_US
dc.typeArticleen_US

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