KOMBINASI PENAKSIR RASIO UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN KOEFISIEN REGRESI, KOEFISIEN KURTOSIS DAN KOEFISIEN VARIASI

dc.contributor.authorArdhi, Defil
dc.contributor.authorFirdaus
dc.contributor.authorSirait, Haposan
dc.date.accessioned2013-03-13T15:21:38Z
dc.date.available2013-03-13T15:21:38Z
dc.date.issued2013-03-13
dc.description.abstractThis paper discussed combining ratio estimators in simple random sampling using coefficient regression, coefficient kurtosis, coefficient variance suggested by Kadilar and Cingi [4]. These estimators are biased there for the Mean Square Error is calculated for each estimators to obtain is most efficient estimator. This comparison shows that the combining ratio estimators is more efficient than the ratio estimator it selfen_US
dc.description.sponsorshipFirdaus, Sirait, Haposanen_US
dc.identifier.otherRangga Dwijunanda Putra
dc.identifier.urihttp://repository.unri.ac.id:80/handle/123456789/2558
dc.language.isootheren_US
dc.subjectSimple Random Samplingen_US
dc.subjectCoefficient Regressionen_US
dc.subjectCoefficient Kurtosisen_US
dc.subjectCoefficient Varianceen_US
dc.titleKOMBINASI PENAKSIR RASIO UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN KOEFISIEN REGRESI, KOEFISIEN KURTOSIS DAN KOEFISIEN VARIASIen_US
dc.typeOtheren_US

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