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Comparison of Sampling Methods for Annual Industry and Service Statistics Survey by TURKSTAT

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dc.creator ŞAHİN, Sibel
dc.creator ALPAYKUT, Süleyman
dc.date 2018-02-09T00:00:00Z
dc.date.accessioned 2019-07-09T12:00:13Z
dc.date.available 2019-07-09T12:00:13Z
dc.identifier http://dergipark.org.tr/sdufenbed/issue/37055/425673
dc.identifier 10.19113/sdufbed.56119
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/46647
dc.description The Annual Industry and Service Statistics is one of the largest surveys, conducted by Turkish Statistical Institute, which aims to determine changes in economic structure in Turkey. Both full enumeration and sampling methods are used in this survey. Nevertheless, the percentage of full enumeration increases every year. Even though efforts have been made in order to be used administrative records in recent years, this could not satisfy all of the necessary information needed. Hence, it is believed that there is a requirement to decrease the size of the survey. In this study, it is aimed to propose a sampling method for part of the Annual Industry and Service Statistics Survey conducted with the enumeration and to compare the suggested methods. For that purpose, in the first phase, stratified sampling is used and then the comparison is made by using three different sampling methods within the strata, namely poisson, systematic and simple random sampling. The size of the survey is reduced by using sampling methods, but the economic activity classification together with the level of estimation to the regions increase. It is concluded that the best estimations and minimum variances are obtained when poisson and simple random sampling methods are applied together.
dc.format application/pdf
dc.publisher Süleyman Demirel University
dc.publisher Süleyman Demirel Üniversitesi
dc.relation http://dergipark.org.tr/download/article-file/475617
dc.source Volume: 22, Issue: 1 81-87 en-US
dc.source 1308-6529
dc.subject Stratified sampling,Poisson sampling; Random sampling; Systematic sampling; Annual statistics estimations
dc.title Comparison of Sampling Methods for Annual Industry and Service Statistics Survey by TURKSTAT en-US
dc.type info:eu-repo/semantics/article


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