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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
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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
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Smoothing and Benchmarking for Small Area Estimation [PDF]
International Statistical Review, 2020 SummarySmall area estimation is concerned with methodology for estimating population parameters associated with a geographic area defined by a cross‐classification that may also include non‐geographic dimensions. In this paper, we develop constrained estimation methods for small area problems: those requiring smoothness with respect to similarity ...
Rebecca C. Steorts +2 more
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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
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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
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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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Improving the reliability of district-level estimates ofteenage pregnancy in Malawi using small area estimation [PDF]
Kudowa E, Manda SO, Henrion MY.
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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
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A Method of Complex Disclosure Risk Assessment for Microdata
Journal of Probability and StatisticsThis article proposes a method for constructing an aggregate measure of disclosure risk: the risk that a user or an intruder can derive an individual’s confidential information from a given data set.
Andrzej Młodak
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Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators
Survey Research Methods, 2012 There has been rising interest in research on poverty mapping over the last decade, with the European Union proposing a core of statistical indicators on poverty commonly known as Laeken Indicators. They include the incidence and the intensity of poverty
Caterina Giusti +3 more
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