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

Fauzi, Saziati; Firdaus; Sugiarto, Sigit

Home
→
UR - Student Paper Degree
→
Faculty of Mathematics and Natural Sciences
→
Mathematics
→
View Item

dc.contributor.author	Fauzi, Saziati
dc.contributor.author	Firdaus
dc.contributor.author	Sugiarto, Sigit
dc.date.accessioned	2014-03-25T07:03:42Z
dc.date.available	2014-03-25T07:03:42Z
dc.date.issued	2014-03-25
dc.identifier.other	Rangga Dwijunanda Putra
dc.identifier.uri	http://repository.unri.ac.id/xmlui/handle/123456789/5869
dc.description.abstract	In 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.provenance	Submitted by Rangga Dwijunanda Putra (rangga.madridista@gmail.com) on 2014-03-25T07:03:41Z No. of bitstreams: 1 KARYA ILMIAH SAZIATI FAUZI.pdf: 357793 bytes, checksum: 67c05b6247e8bfe700073b64e3891cf4 (MD5)	en
dc.description.provenance	Made available in DSpace on 2014-03-25T07:03:42Z (GMT). No. of bitstreams: 1 KARYA ILMIAH SAZIATI FAUZI.pdf: 357793 bytes, checksum: 67c05b6247e8bfe700073b64e3891cf4 (MD5)	en
dc.description.sponsorship	Firdaus, Sugiarto, Sigit	en_US
dc.language.iso	other	en_US
dc.subject	auxiliary variable	en_US
dc.subject	mean square error	en_US
dc.subject	ratio and regression estimator	en_US
dc.subject	simple random sampling	en_US
dc.title	PENAKSIR RASIO DAN REGRESI MENGGUNAKAN DUA VARIABE TAMBAHAN UNTUK RATA-RATA POPULASI PADA SAMPLING ACAK SEDERHANA	en_US
dc.type	Other	en_US