Linguistic Summaries in Small Area Statistics

Data collection in small area statistics also copes with missing values. In the municipal statistics we can recognize more or less similar municipalities and more or less dependent indicators. Therefore, an approach capable to process this uncertainty is desirable. Data produced in small area statis...

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Main Author: Miroslav Hudec
Format: Article
Language:English
Published: Austrian Statistical Society 2014-04-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/6
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spelling doaj-4fa85fc09f04467b8d51db86d47505772021-04-22T12:35:18ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2014-04-0143110.17713/ajs.v43i1.64Linguistic Summaries in Small Area StatisticsMiroslav Hudec0Faculty of Economic Informatics, University of Economics in Bratislava, SlovakiaData collection in small area statistics also copes with missing values. In the municipal statistics we can recognize more or less similar municipalities and more or less dependent indicators. Therefore, an approach capable to process this uncertainty is desirable. Data produced in small area statistics are valuable source for users. Data dissemination which mimics human reasoning in searching and evaluation data could be a suitable solution. Thus, there is a space for improving both processes by linguistic summaries which are based on fuzzy logic. Finally, the paper discusses future research and development topics in this field. http://www.ajs.or.at/index.php/ajs/article/view/6
collection DOAJ
language English
format Article
sources DOAJ
author Miroslav Hudec
spellingShingle Miroslav Hudec
Linguistic Summaries in Small Area Statistics
Austrian Journal of Statistics
author_facet Miroslav Hudec
author_sort Miroslav Hudec
title Linguistic Summaries in Small Area Statistics
title_short Linguistic Summaries in Small Area Statistics
title_full Linguistic Summaries in Small Area Statistics
title_fullStr Linguistic Summaries in Small Area Statistics
title_full_unstemmed Linguistic Summaries in Small Area Statistics
title_sort linguistic summaries in small area statistics
publisher Austrian Statistical Society
series Austrian Journal of Statistics
issn 1026-597X
publishDate 2014-04-01
description Data collection in small area statistics also copes with missing values. In the municipal statistics we can recognize more or less similar municipalities and more or less dependent indicators. Therefore, an approach capable to process this uncertainty is desirable. Data produced in small area statistics are valuable source for users. Data dissemination which mimics human reasoning in searching and evaluation data could be a suitable solution. Thus, there is a space for improving both processes by linguistic summaries which are based on fuzzy logic. Finally, the paper discusses future research and development topics in this field.
url http://www.ajs.or.at/index.php/ajs/article/view/6
work_keys_str_mv AT miroslavhudec linguisticsummariesinsmallareastatistics
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