PENAKSIR RASIO UNTUK VARIANSI POPULASI MENGGUNAKAN KOEFISIEN VARIASI DAN KURTOSIS PADA SAMPLING ACAK SEDERHANA

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dc.contributor.authorGusnawan, Erpan
dc.contributor.authorAdnan, Arisman
dc.contributor.authorSirait, Haposan
dc.date.accessioned2016-05-23T03:48:42Z
dc.date.available2016-05-23T03:48:42Z
dc.date.issued2016-05-23
dc.description.abstractThis paper is a review of Kadilar and Chingi [Journal of Modern Applied Statistical Method, 35 (2006), 111{115] which discusses three estimators of ratio population variances ^ S2 KC1, ^ S2 K C2 and ^ S2 K C3 of the population of variables Y using known aux- iliary variables X on simple random sampling. The three estimators ^ S2 K C1, ^ S2 K C2 and ^ S2 K C3 are the modi ed of ratio variances estimator using coe cien of variation and kurtosis. Bias and mean square error (MSE) of the three estimators are obtained by MacLaurin series approximation. Furthermore, the MSE of each esti- mator is compared. This comparison shows that the estimator having the smallest MSE is the most e cient estimator.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttp://repository.unri.ac.id/xmlui/handle/123456789/8414
dc.language.isoenen_US
dc.subjectSimple random samplingen_US
dc.subjectratio estimatoren_US
dc.subjectcoefficien of variationen_US
dc.subjectkurtosisen_US
dc.titlePENAKSIR RASIO UNTUK VARIANSI POPULASI MENGGUNAKAN KOEFISIEN VARIASI DAN KURTOSIS PADA SAMPLING ACAK SEDERHANAen_US
dc.typestudent Paper Post Degreeen_US

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