PENAKSIR RASIO YANG EFISIEN UNTUK RATA-RATA POPULASI MENGGUNAKAN KOEFISIEN REGRESI ROBUST PADA SAMPING ACAK SEDERHANA

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dc.contributor.authorMorika, Mia Okto
dc.contributor.authorAdnan, Arisman
dc.contributor.authorSirait, Haposan
dc.date.accessioned2013-03-16T03:24:46Z
dc.date.available2013-03-16T03:24:46Z
dc.date.issued2013-03-16
dc.description.abstractThe ratio estimators proposed by Kadilar, Candan and Cingi [4] for the population mean in simple random sampling using robust regression has been reviewed. This robust regression is defined by Huber M-estimators. These estimators are biased so that the Mean Square Error is calculated for each estimators to obtain which one is more efficient. This comparison shows that the ratio estimator involving of coefficient curtosis the more efficient then othersen_US
dc.description.sponsorshipAdnan, Arisman, Sirait, Haposanen_US
dc.identifier.otherRangga Dwijunanda Putra
dc.identifier.urihttp://repository.unri.ac.id:80/handle/123456789/2608
dc.language.isootheren_US
dc.subjectSimple Random Samplingen_US
dc.subjectRobust Regressionen_US
dc.subjectMean Square Erroren_US
dc.titlePENAKSIR RASIO YANG EFISIEN UNTUK RATA-RATA POPULASI MENGGUNAKAN KOEFISIEN REGRESI ROBUST PADA SAMPING ACAK SEDERHANAen_US
dc.typeOtheren_US

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