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dc.contributor.authorZhang, Li-Chun
dc.date.accessioned2013-02-02T15:23:13Z
dc.date.available2013-02-02T15:23:13Z
dc.date.issued1998
dc.identifier.issn1892-753x
dc.identifier.urihttp://hdl.handle.net/11250/180063
dc.description.abstractThe paper offers a synthesis of several widely used estimation methods in survey sampling from a rather personal point of view. The methods which will be discussed include post-stratification estimation, generalized regression estimation and calibration estimation. The presentation puts emphasis on understanding, with as little mathematics as possible. lt is hoped that in this way anybody, with however varied background of experience with these methods, may find something useful here. The appendix introduces a program package called CALWGT for calibration, which is available on contacting the author. Keywords: Post-stratification, generalized regression, calibration.no_NO
dc.language.isoengno_NO
dc.publisherStatistics Norway, Research Departmentno_NO
dc.relation.ispartofseriesDiscussion Papers;No. 216
dc.subjectEstimeringno_NO
dc.subjectUtvalgsundersøkelserno_NO
dc.subjectStatistiske metoderno_NO
dc.titlePost-stratification and calibration : a synthesisno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412no_NO
dc.source.pagenumber19 s.no_NO


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