Results 11 to 20 of about 12,429,123 (337)
Small Area Estimation‐New Developments and Directions [PDF]
International Statistical Review, 2002 SummaryThe purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review focuses on model dependent methods with special emphasis on point prediction of the target ...
Pfeffermann, Danny
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M-Quantile Models for Small Area Estimation [PDF]
, 2005 Small area estimation techniques are employed when sample data are insufficient for acceptably precise direct estimation in domains of interest. These techniques typically rely on regression models that use both covariates and random effects to explain ...
Ray Chambers +4 more
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, 2003 Small area estimation techniques with survey data are now widely being investigated in an increasingly crowded field. In forestry, on-the-ground Inventories could collect very intensive grid information, but this is costly. Therefore, utilizing the low-cost auxiliary information from remote sensing sources such as Landsat Thematic Mapper (TM) or ...
Lin, Jin-Mann, author +5 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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Small area estimation with spatial similarity [PDF]
Computational Statistics & Data Analysis, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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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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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