Small area estimation in the case of nonesponse

In this paper the effect of model and nonresponseadjustment on different types of estimators for the totals of small area domains is examined. The empirical results are based on Monte Carlo simulations with repeated samples drawn from a finite population constructed from the real data from the Lith...

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Main Author: Vilma Nekrašaitė-Liegė
Format: Article
Language:English
Published: Vilnius University Press 2009-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
Online Access:https://www.journals.vu.lt/LMR/article/view/17984
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spelling doaj-e80be70d153c4d34bc79021e9cc8b5162020-11-25T03:00:02ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2009-12-0150proc. LMS10.15388/LMR.2009.54Small area estimation in the case of nonesponseVilma Nekrašaitė-Liegė0Vilnius Gediminas Technical University In this paper the effect of model and nonresponseadjustment on different types of estimators for the totals of small area domains is examined. The empirical results are based on Monte Carlo simulations with repeated samples drawn from a finite population constructed from the real data from the Lithuanian Business Survey. https://www.journals.vu.lt/LMR/article/view/17984populationsamplesmall areanonresponseresponse probabilityestimator
collection DOAJ
language English
format Article
sources DOAJ
author Vilma Nekrašaitė-Liegė
spellingShingle Vilma Nekrašaitė-Liegė
Small area estimation in the case of nonesponse
Lietuvos Matematikos Rinkinys
population
sample
small area
nonresponse
response probability
estimator
author_facet Vilma Nekrašaitė-Liegė
author_sort Vilma Nekrašaitė-Liegė
title Small area estimation in the case of nonesponse
title_short Small area estimation in the case of nonesponse
title_full Small area estimation in the case of nonesponse
title_fullStr Small area estimation in the case of nonesponse
title_full_unstemmed Small area estimation in the case of nonesponse
title_sort small area estimation in the case of nonesponse
publisher Vilnius University Press
series Lietuvos Matematikos Rinkinys
issn 0132-2818
2335-898X
publishDate 2009-12-01
description In this paper the effect of model and nonresponseadjustment on different types of estimators for the totals of small area domains is examined. The empirical results are based on Monte Carlo simulations with repeated samples drawn from a finite population constructed from the real data from the Lithuanian Business Survey.
topic population
sample
small area
nonresponse
response probability
estimator
url https://www.journals.vu.lt/LMR/article/view/17984
work_keys_str_mv AT vilmanekrasaiteliege smallareaestimationinthecaseofnonesponse
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