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

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dc.contributor.author Ardhi, Defil
dc.contributor.author Firdaus
dc.contributor.author Sirait, Haposan
dc.date.accessioned 2013-03-13T15:21:38Z
dc.date.available 2013-03-13T15:21:38Z
dc.date.issued 2013-03-13
dc.identifier.other Rangga Dwijunanda Putra
dc.identifier.uri http://repository.unri.ac.id:80/handle/123456789/2558
dc.description.abstract This 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 self en_US
dc.description.provenance Submitted by Rangga Dwijunanda Putra (rangga.madridista@gmail.com) on 2013-03-13T15:21:38Z No. of bitstreams: 1 Artikel defil ardhi 10 01 2013.pdf: 69708 bytes, checksum: 0f17d30e2b8daca0d4b4fb0b42be5ef7 (MD5) en
dc.description.provenance Made available in DSpace on 2013-03-13T15:21:38Z (GMT). No. of bitstreams: 1 Artikel defil ardhi 10 01 2013.pdf: 69708 bytes, checksum: 0f17d30e2b8daca0d4b4fb0b42be5ef7 (MD5) en
dc.description.sponsorship Firdaus, Sirait, Haposan en_US
dc.language.iso other en_US
dc.subject Simple Random Sampling en_US
dc.subject Coefficient Regression en_US
dc.subject Coefficient Kurtosis en_US
dc.subject Coefficient Variance en_US
dc.title KOMBINASI PENAKSIR RASIO UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA MENGGUNAKAN KOEFISIEN REGRESI, KOEFISIEN KURTOSIS DAN KOEFISIEN VARIASI en_US
dc.type Other en_US


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