PENAKSIR RASIO DAN REGRESI MENGGUNAKAN DUA VARIABE TAMBAHAN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA

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dc.contributor.authorFauzi, Saziati
dc.contributor.authorFirdaus
dc.contributor.authorSugiarto, Sigit
dc.date.accessioned2014-03-25T07:03:42Z
dc.date.available2014-03-25T07:03:42Z
dc.date.issued2014-03-25
dc.description.abstractIn this article we study the ratio estimator, regression estimator and ratio regression estimator using two auxiliary variables in simple random sampling, which is a review from parts of an article Abu-Dayyeh et al. [Applied Mathematics and Computation. 162: 901-908]. The estimators are biased estimators. Then mean square error of each estimator is determined. The estimator with the smallest mean square error is the most efficient estimator. An example is given at the end of discussion.en_US
dc.description.sponsorshipFirdaus, Sugiarto, Sigiten_US
dc.identifier.otherRangga Dwijunanda Putra
dc.identifier.urihttp://repository.unri.ac.id/xmlui/handle/123456789/5869
dc.language.isootheren_US
dc.subjectauxiliary variableen_US
dc.subjectmean square erroren_US
dc.subjectratio and regression estimatoren_US
dc.subjectsimple random samplingen_US
dc.titlePENAKSIR RASIO DAN REGRESI MENGGUNAKAN DUA VARIABE TAMBAHAN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANAen_US
dc.typeOtheren_US

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