Spatial Empirical Best Linear Unbiased Prediction Methods for Small Areas to Estimate monthly Expenditure per capita (Case Study: The Province of East Java District Jember).

Matualage, Dariani

Metode Prediksi Tak Bias Linier Terbaik Empiris Spasial pada Area Kecil untuk Pendugaan Pengeluaran Perkapita (Studi Kasus : Kabupaten Jember Provinsi Jawa Timur)

dc.contributor.advisor	Saefuddin, Asep
dc.contributor.advisor	Wigena, Aji Hamim
dc.contributor.author	Matualage, Dariani
dc.date.accessioned	2012-08-28T07:21:04Z
dc.date.available	2012-08-28T07:21:04Z
dc.date.issued	2012
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/56642
dc.description.abstract	Poverty of an area can be measured by their per capita expenditure. Direct estimation of expenditure per capita based on small area data may cause a large variance of estimates. Spatial Empirical Best Linear Unbiased Prediction (SEBLUP) is one of the small area estimation methods to solve the problems. The method is developed from EBLUP allowing correlation among area. Susenas Data was used to compare SEBLUP, direct estimation and EBLUP. The result showed that the standard error of SEBLUP was smaller than those of direct estimation and EBLUP	en
dc.subject	SAE	en
dc.subject	SEBLUP	en
dc.subject	limit models	en
dc.subject	Susenas	en
dc.title	Spatial Empirical Best Linear Unbiased Prediction Methods for Small Areas to Estimate monthly Expenditure per capita (Case Study: The Province of East Java District Jember).	en
dc.title	Metode Prediksi Tak Bias Linier Terbaik Empiris Spasial pada Area Kecil untuk Pendugaan Pengeluaran Perkapita (Studi Kasus : Kabupaten Jember Provinsi Jawa Timur)