Results 21 to 30 of about 96,795 (287)

On Misspecification of Spatial Weight Matrix for Small Area Estimation in Longitudinal Analysis [PDF]

Comparative Economic Research, 2012
The problem of prediction of subpopulation (domain) total is studied as in Rao (2003). Considerations are based on spatially correlated longitudinal data.
Tomasz Żądło
doaj   +3 more sources

Application of Small Area Estimation for Estimation of Sub-District Level Poverty in Bengkulu Province: Comparison of Empirical Best Linear Unbiased Prediction (EBLUP) and Hierarchical Bayesian (HB) Methods

Journal of Statistics and Data Science
Poverty is an important problem facing the world. Various ways are done to eradicate poverty. In planning poverty alleviation, policy makers need detailed information down to the smallest area level that can be produced. Currently, the demand for estimation at the small area level is increasing, while the success of estimation using the indirect method
Auliya Yudha Pratama
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Estimating the Poverty level in the Coastal Areas of Mukomuko District Using Small Area Estimation: Empirical Best Linear Unbiased Prediction Method [PDF]

Proceedings of the Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia, 2020
Etis Sunandi, Dian Agustina, Herlin Fransiska   +2 more
openaire   +2 more sources

On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor (E‐BLUP) with REML

European Journal of Soil Science, 2005
Summary Geostatistical estimates of a soil property by kriging are equivalent to the best linear unbiased predictions (BLUPs). Universal kriging is BLUP with a fixed‐effect model that is some linear function of spatial co‐ordinates, or more generally a linear function of some other secondary predictor variable when it is called ...
Lark, R M, Cullis, B R, Welham, S J
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Poverty Mapping of the Coastal Areas Using Spatial Empirical Best Linear Unbiased Prediction Method

Journal of Physics: Conference Series, 2019
E Sunandi, D Agustina, H Fransiska
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The implementation of empirical best linear unbiased prediction-Fay Herriot (EBLUP-FH) on the estimation of average per capita expenditure at district level in West Sumatra Province in 2019

Journal of Mathematical and Computational Science, 2022
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Small area estimation of poverty severity index for Kecamatan (sub-district) in Surabaya city in 2020 using empirical best linear unbiased prediction method [PDF]

AIP Conference Proceedings
Nailatul Muna, Agnes Tuti Rumiati, Dedy Dwi Prastyo   +2 more
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UNEMPLOYMENT RATE ESTIMATION IN BALI PROVINCE: A SMALL AREA ESTIMATION APPROACH

Barekeng, 2022
Good development and economic growth increase the opportunities for people in the related areas to become more prosperous so that they can become a benchmark for the country's economy.
I Komang Gde Sukarsa, G. K. Gandhiadi, I Putu Eka Nila Kencana   +2 more
doaj   +1 more source

SMALL AREA ESTIMATION OF MEAN YEARS SCHOOL IN KABUPATEN BOGOR USING SEMIPARAMETRIC P-SPLINE

Barekeng, 2022
The Fay-Herriot model, generally uses the EBLUP (Empirical Best Linear Unbiased Prediction) method, is less flexible due to the assumption of linearity.
Christiana Anggraeni Putri, Indahwati Indahwati, Anang Kurnia   +2 more
doaj   +1 more source

Hierarchical Bayesian Small Area Estimation Using Weakly Informative Priors in Ecologically Homogeneous Areas of the Interior Western Forests

Frontiers in Forests and Global Change, 2021
The U.S. Forest Inventory and Analysis Program (FIA) collects inventory data on and computes estimates for many forest attributes to monitor the status and trends of the nation's forests.
Grayson W. White, Kelly S. McConville, Gretchen G. Moisen, Tracey S. Frescino   +3 more
doaj   +1 more source