Results 11 to 20 of about 96,795 (287)

Spatial Empirical Best Linear Unbiased Prediction in Small Area Estimation of Poverty

Procedia Computer Science, 2018
Abstract Spatial data contains of observation and region information, can describes spatial patterns such as social phenomenon or poverty. In poverty parameter estimations, the less of sample adequacy to deliver direct estimation is one of the limitation, thus the Small Area Estimation (SAE) developed to handle it.
Novi Hidayat Pusponegoro, Ro’fah Nur Rachmawati   +1 more
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Penerapan Penduga Area Kecil Melalui Metode Empirical Best Linear Unbiased Prediction (EBLUP) untuk Estimasi Persentase Penduduk Miskin Level Kabupaten/Kota di Provinsi Jawa Barat

Bandung Conference Series: Statistics, 2022
Abstract. Poverty is a problem that is still a concern in every country until now. Poverty data needs to be available to the smallest area in order to implement targeted programs and measures to combat poverty. It is difficult to obtain information in a small area using the BPS survey design, because the sample size used is too small and the estimation
Aulia Syafira, Nusar Hajarisman
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Penerapan Penduga Area Kecil untuk Menduga Pengeluaran Per Kapita di Provinsi Jawa Barat melalui Metode Empirical Best Linear Unbiased Prediction

Bandung Conference Series: Statistics, 2022
Abstract. A research small sample will lead to errors which gets unexpected stats and precision. So as be solved by direct estimation. However, direct estimation provides insufficient accuracy resulting in large variance. But, can be overcome by estimating small area using Empirical Best Linear Unbiased Prediction (EBLUP) method by borrowing ...
Giatri Divianis, Nusar Hajarisman
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Pendugaan Rata-rata Pengeluaran Per Kapita Menurut Kabupaten/Kota di Provinsi Jawa Barat Melalui Empirical Best Linear Unbiased Prediction dalam Pendugaan Area Kecil

Bandung Conference Series: Statistics, 2022
Abstract. The SAE (Small Area Estimation) method is widely used and used by many parties, one of which is BPS (Central Statistics Agency) some examples of data presentation expenditures such as poverty/social development/economic development, one of which is Per Capita Expenditure.
Akmal Hafis Hakim, Nusar Hajarisman
openaire   +3 more sources

Empirical best linear unbiased prediction method for small areas with restricted maximum likelihood and bootstrap procedure to estimate the average of household expenditure per capita in Banjar Regency [PDF]

AIP Conference Proceedings, 2017
So far, most of the data published by Statistics Indonesia (BPS) as data providers for national statistics are still limited to the district level. Less sufficient sample size for smaller area levels to make the measurement of poverty indicators with direct estimation produced high standard error. Therefore, the analysis based on it is unreliable.
Agustin Siti Aminah, Gandhi Pawitan, Bertho Tantular   +2 more
openaire   +2 more sources

Implementasi Empirical Best Linear Unbiased Prediction Fay-Herriot dalam Menduga Rata-Rata Pengeluaran per Kapita Level Kecamatan di Provinsi Jawa Timur dengan Tambahan Informasi Cluster

Seminar Nasional Official Statistics, 2021
Salah satu indikator ekonomi yang dapat mengukur tingkat kesejahteraan adalah kemiskinan. Penduduk tergolong miskin apabila rata-rata pengeluaran per kapita setiap bulannya dibawah garis kemiskinan. Provinsi Jawa Timur terpilih sebagai lokus penelitian dikarenakan memiliki jumlah penduduk miskin tertinggi di Indonesia selama satu dekade terakhir.
Ika Yuni Wulansari, Mochamad Wildan Maulana   +1 more
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The Empirical Best Linear Unbiased Prediction and The Emperical Best Predictor Unit-Level Approaches in Estimating Per Capita Expenditure at the Subdistrict Level

Scientific Journal of Informatics
Purpose: This study aims to estimate and evaluate per capita expenditure at the subdistrict level in Garut Regency by employing unit-level Small Area Estimation (SAE) techniques, specifically utilizing the Empirical Best Linear Unbiased Predictor (EBLUP) and the Empirical Best Predictor (EBP) methods.
Ghina Fauziah, Anang Kurnia, Anik Djuraidah   +2 more
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Small Area Estimation for Per Capita Expenditure in Sulawesi Selatan using Empirical Best Linear Unbiased Prediction

InPrime: Indonesian Journal of Pure and Applied Mathematics
Small area estimation (SAE) is an important technique for estimating parameters in regions or sub-populations with limited sample sizes, particularly when direct estimators are inadequate in capturing area-specific information. The Empirical Best Linear Unbiased Prediction (EBLUP) method is one of the SAE parameter estimation approaches, aiming to ...
Alya Safira Irtiqa Miolo, Nurtiti Sunusi, Siswanto Siswanto   +2 more
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Enhancing enviromics based predictions in common bean multi-environment trials [PDF]

Scientific Reports
Enviromic approaches enhance predictive models by incorporating environmental data into selection frameworks. By integrating factor analytic (FA) models, enviromics, and Geographic Information Systems (GIS), the GIS-FA method was proposed to improve ...
Gabriel M. Blasques, Luiz A. S. Dias, Mauricio S. Araújo, Alisson F. Chiorato, Sergio A. M. Carbonell, Lucas P. Corrêdo, Saulo Chaves, Kaio O. G. Dias   +7 more
doaj   +2 more sources

Empirical Best Linear Unbiased Prediction for Out of Sample Areas [PDF]

, 2005
Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random effects are spatially correlated. In this paper we suggest a simple variance-covariance structure for such
Saei, Ayoub, Chambers, Ray
openaire   +2 more sources