Results 21 to 30 of about 1,984,822 (289)
Simple House Needs in Jember with Robust Small Area Estimation
Jurnal Ilmu Dasar, 2017 SAE (Small Area Estimation) is often used by researchers, especially statisticians to estimate parameters of a subpopulation which has a small sample size.
Frida Murtinasari +2 more
doaj +1 more source
Small area estimation of child undernutrition in Ethiopian woredas. [PDF]
PLoS ONE, 2017 Reducing child undernutrition is a key social policy objective of the Ethiopian government. Despite substantial reduction over the last decade and a half, child undernutrition is still high; with 48 percent of children either stunted, underweight or ...
Thomas Pave Sohnesen +4 more
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Estimating Small Area Income Deprivation: An Iterative Proportional Fitting Approach [PDF]
, 2011 Small area estimation and in particular the estimation of small area income deprivation has potential value in the development of new or alternative components of multiple deprivation indices.
A Bates +36 more
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Multivariate small area estimation under nonignorable nonresponse
Statistical Theory and Related Fields, 2019 We consider multivariate small area estimation under nonignorable, not missing at random (NMAR) nonresponse. We assume a response model that accounts for the different patterns of the observed outcomes, (which values are observed and which ones are ...
Danny Pfeffermann, Michael Sverchkov
doaj +1 more source
An Asymmetric Area Model-Based Approach for Small Area Estimation Applied to Survey Data
Revstat Statistical Journal, 2021 The Birnbaum–Saunders distribution is asymmetrical and has received considerable attention due to its properties and its relationship with the normal distribution. In this paper, we propose a methodology for estimating the mean of small areas based on a
Marcelo Rodríguez +5 more
doaj +1 more source
Weighting and imputation comparison in small area estimation
Lietuvos Matematikos Rinkinys, 2010 In this paper, different methods of nonresponse adjustment for the totals of small area domains are examined. To improve quality of estimations linear model with random parameters at domain level is used.
Vilma Nekrašaitė-Liegė
doaj +1 more source
Precise and unbiased biomass estimation from GEDI data and the US Forest Inventory
Frontiers in Forests and Global Change, 2023 Atmospheric CO2 concentrations are dependent on land-atmosphere carbon fluxes resultant from forest dynamics and land-use changes. These fluxes are not well-constrained, in part because reliable baseline estimates of forest carbon stocks and the ...
Jamis Bruening +3 more
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Small area estimation in the case of nonesponse
Lietuvos Matematikos Rinkinys, 2009 In this paper the effect of model and nonresponseadjustment on different types of estimators for the totals of small area domains is examined. The empirical results are based on Monte Carlo simulations with repeated samples drawn from a finite population
Vilma Nekrašaitė-Liegė
doaj +1 more source
Small Area Estimation with Linked Data [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2020 AbstractData linkage can be used to combine values of the variable of interest from a national survey with values of auxiliary variables obtained from another source, such as a population register, for use in small area estimation. However, linkage errors can induce bias when fitting regression models; moreover, they can create non-representative ...
Salvati N. +3 more
openaire +1 more source
Benchmarking small area estimators [PDF]
Biometrika, 2012 This paper considers benchmarking issues in the context of small area estimation. We find optimal estimators within the class of benchmarked linear estimators under linear constraints. This extends existing results for external and internal benchmarking, and also links the two.
W. R. Bell, G. S. Datta, M. Ghosh
openaire +2 more sources