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Small Area Shrinkage Estimation
Statistical Science, 2012 The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now widely recognized that direct small area survey estimates are highly unreliable owing to large standard ...
Datta, G., Ghosh, M.
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Small area estimation on poverty indicators [PDF]
Canadian Journal of Statistics, 2009 We propose to estimate non-linear small area population quantities by using Empirical Best (EB) estimators based on a nested error model. EB estimators are obtained by Monte Carlo approximation.
Molina, Isabel, Rao, J.N.K.
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Crime against women in India: district-level risk estimation using the small area estimation approach [PDF]
Frontiers in Public HealthBackgroundThe global prevalence of crimes against women has made it an enduring public health challenge that has persisted over time. The achievement of the 2030 Sustainable Development Goal (SDG) is intricately tied to the actions taken to prevent these
B. S. Pooja +2 more
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SMALL AREA ESTIMATION UNTUK PENDUGAAN TINGKAT PARTISIPASI ANGKATAN KERJA DI PROVINSI MALUKU DENGAN PENDEKATAN KERNEL-BOOTSTRAP [PDF]
Barekeng, 2016 Pendugaan area kecil dengan dengan teknik pendugaan tak langsung memerlukan asumsi adanya hubungan linear antara rataan area kecil dengan variabel penyerta. Jika tidak ada hubungan linier antara rataan area kecil dan variabel penyerta maka tidak tepat ‘
Mozart W. Talakua, Geornando G. Patty
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Small Area Estimation for Disease Prevalence Mapping. [PDF]
Int Stat Rev, 2020 SummarySmall area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints.
Wakefield J, Okonek T, Pedersen J.
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Advancing small area estimation [PDF]
, 2013 The poverty mapping methodology for estimating welfare rankings from small areas has proven to be useful in guiding allocation of government funds, regional planning, and general policy formulation.
Arndt, Channing +4 more
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Multivariate Global-Local Priors for Small Area Estimation
Stats, 2022 It is now widely recognized that small area estimation (SAE) needs to be model-based. Global-local (GL) shrinkage priors for random effects are important in sparse situations where many areas’ level effects do not have a significant impact on the ...
Tamal Ghosh +3 more
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Small Area Quantile Estimation [PDF]
International Statistical Review, 2018 SummarySample surveys are widely used to obtain information about totals, means, medians and other parameters of finite populations. In many applications, similar information is desired for subpopulations such as individuals in specific geographic areas and socio‐demographic groups. When the surveys are conducted at national or similarly high levels, a
Jiahua Chen, Yukun Liu
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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 +2 more
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Using Small Area Estimation to Produce Official Statistics
Stats, 2022 The USDA National Agricultural Statistics Service (NASS) and other federal statistical agencies have used probability-based surveys as the foundation for official statistics for over half a century.
Linda J. Young, Lu Chen
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