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Robust mean estimation in stratified sampling: A quantile regression approach

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Bibliographic Details
Published in:Journal of Applied Mathematics, Statistics and Informatics
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Applied Mathematics, Statistics and Informatics
description
discipline_display Mathematics
discipline_facet Mathematics
format Online Article
RSS Article
genre Journal Article
id rss_article:90257
institution FRELIP
journal_source_facet Journal of Applied Mathematics, Statistics and Informatics
last_indexed 2026-06-12T02:00:45.559Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Robust mean estimation in stratified sampling: A quantile regression approach
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Robust mean estimation in stratified sampling: A quantile regression approach
title_auth Robust mean estimation in stratified sampling: A quantile regression approach
title_full Robust mean estimation in stratified sampling: A quantile regression approach
title_fullStr Robust mean estimation in stratified sampling: A quantile regression approach
title_full_unstemmed Robust mean estimation in stratified sampling: A quantile regression approach
title_short Robust mean estimation in stratified sampling: A quantile regression approach
title_sort robust mean estimation in stratified sampling: a quantile regression approach
topic Mathematics
General
Mathematics
url https://sciendo.com/article/10.2478/jamsi-2026-0003