SAE teaching using simulations
Ralf Münnich () and
Jan Pablo Burgard ()
Statistics in Transition new series, 2015, vol. 16, issue 4, 603-610
Abstract:
The increasing interest in applying small area estimation methods urges the needs for training in small area estimation. To better understand the behaviour of small area estimators in practice, simulations are a feasible way for evaluating and teaching properties of the estimators of interest. By designing such simulation studies, students gain a deeper understanding of small area estimation methods. Thus, we encourage to use appropriate simulations as an additional interactive tool in teaching small area estimation methods.
Keywords: small area estimation; teaching; simulations; design-based simulations; model-based simulations (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v16_2015_i4_n9.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:16:y:2015:i:4:p:603-610
Access Statistics for this article
Statistics in Transition new series is currently edited by Włodzimierz Okrasa
More articles in Statistics in Transition new series from Główny Urząd Statystyczny (Polska) Contact information at EDIRC.
Bibliographic data for series maintained by Beata Witek ( this e-mail address is bad, please contact ).