Results 11 to 20 of about 1,984,822 (289)
A methodology for small area prevalence estimation based on survey data
International Journal for Equity in Health, 2020 Background Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost.
Regina Tomie Ivata Bernal +6 more
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Population Health Metrics, 2020 Background There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic
Robert Pryce +8 more
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Spatial hierarchical Bayes Small Area Model for disaggregated level crop acreage estimation
The Indian Journal of Agricultural Sciences, 2020 Crop area statistics in most of the states in India are provided based on complete enumeration or census approach. But, shortage of man power, failure of the primary and revenue staffs to devote adequate time and attention in collection and compilation ...
PRIYANKA ANJOY +2 more
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A new estimator and approach for estimating the subpopulation parameters
Journal of Taibah University for Science, 2021 Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books.
Mohammad Salehi M., George A. F. Seber
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Estimation of Small Area Total with Randomized Data
Revstat Statistical Journal, 2020 In social surveys involving questions that are sensitive or personal in nature, respondents may not provide correct answers to certain questions asked by the interviewer.
Shakeel Ahmed +3 more
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The Fay–Herriot Model in Small Area Estimation
Revstat Statistical Journal, 2020 Standard methods of variance component estimation used in the Fay-Herriot model for small areas can produce problems of inadmissible values (negative or zero) for these variances. This implies that the empirical best linear unbiased predictor of a small
José Luis Ávila-Valdez +4 more
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Small area estimation with subgroup analysis
Statistical Theory and Related Fields, 2019 In this article, a new unit level model based on a pairwise penalised regression approach is proposed for problems in small area estimation (SAE). Instead of assuming common regression coefficients for all small domains in the traditional model, the new ...
Xin Wang, Zhengyuan Zhu
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Acta Universitatis Lodziensis. Folia Oeconomica, 2018 To meet the growing demand for detailed, precise, accurate and timely estimation of entrepreneurship and economic conditions, it is necessary to systematically extend the scope of information provided by business statistics.
Grażyna Dehnel
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The Use of the Robust GREG Estimator to Estimate Small Trade Firms
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 In the face of dynamic changes in the economy, there is a growing demand for multivariate statistics for cross‑classified domains. In economic statistics, this demand poses a particular challenge owing to the unique character of the population of ...
Grażyna Dehnel
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, 2020 This chapter gives some introductory comments about small area estimation and mixed models. As the book illustrates the statistical methodology with applications of R codes to synthetic data, the chapter describes the structure and contents of the employed data files.
Domingo Morales +3 more
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