SAE Education Challenges to Academics and NSI

Elżbieta Gołata


The aim of the paper is to present some experiences in teaching Small Area Estimation (SAE). SAE education experiences and challenges are analysed from the academic side and from the NSI side. An attempt was undertaken to discuss SAE issues in a wider perspective of teaching statistics. In particular, the topics refer to Polish conditions, but they are presented against the background of selected international experiences and practices. Information comes from a special inquiry - a survey conducted among employees of statistical offices and academics from universities involved in SAE research. A further issue is inclusion of SAE in the EMOS project (European Master in Official Statistics). The survey is extended with information collected by monitoring of trainings and projects organized by the leading centres dealing with SAE. The results obtained are related to a similar survey within Eurostat project: ESSnet on Small Area Estimation, which was conducted in 2010. The study includes interest in learning and the need to implement SAE methodology, a range of subjects taught as well as a range of applications, forms of training, type of courses, software used and teaching methods. In particular, it intends to answer how strong the interest in small area estimation is, what the demand for practical and theoretical knowledge in the field is and what the recommendations for universities and statistical institutes are.
Author Elżbieta Gołata (WIiGE / KS)
Elżbieta Gołata,,
- Department of Statistics
Journal seriesStatistics in Transition, ISSN 1234-7655, e-ISSN 2450-0291, (B 15 pkt)
Issue year2015
Publication size in sheets0.95
ASJC Classification1804 Statistics, Probability and Uncertainty; 2613 Statistics and Probability
Languageen angielski
Score (nominal)15
Score sourcejournalList
ScoreMinisterial score = 15.0, 23-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 23-12-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.26
Citation count*4 (2020-09-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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