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Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation

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Published in:Journal of Official Statistics
Format: Online Article RSS Article
Published: 2023
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container_title Journal of Official Statistics
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16230
institution FRELIP
journal_source_facet Journal of Official Statistics
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_auth Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_full Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_fullStr Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_full_unstemmed Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_short Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation
title_sort application of sampling variance smoothing methods for small area proportion estimation
topic Probabilities and Math Statistics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://sciendo.com/article/10.2478/jos-2023-0026