2020•Unpublished venueOpen access

Estimating the Poverty level in the Coastal Areas of Mukomuko District Using Small Area Estimation: Empirical Best Linear Unbiased Prediction Method

Etis Sunandi, Dian Agustina, Herlin Fransiska

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Abstract

This research aims to estimate the poverty level in the Coastal Areas of Mukomuko District using small area estimation. One of the estimation methods on small area estimation is Empirical Best Linear Unbiased Prediction (EBLUP). using the method, the poverty estimator in the coastal area of Mukomuko

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This research aims to estimate the poverty level in the Coastal Areas of Mukomuko District using small area estimation. One of the estimation methods on small area estimation is Empirical Best Linear Unbiased Prediction (EBLUP). using the method, the poverty estimator in the coastal area of Mukomuko

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Available abstract

This research aims to estimate the poverty level in the Coastal Areas of Mukomuko District using small area estimation. One of the estimation methods on small area estimation is Empirical Best Linear Unbiased Prediction (EBLUP). using the method, the poverty estimator in the coastal area of Mukomuko

Key concepts: Small area estimation, Best linear unbiased prediction, Estimation, Estimator, Poverty, Statistics, Mathematics, Econometrics

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