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An Optimal Calibration Distance Leading to the Optimal Regresion Estimator
Linköping University, The Institute of Technology. Linköping University, Department of Mathematics, Mathematical Statistics .
Department of Statistics Stockholm universitet.
2005 (English)In: Survey methodology, ISSN 0714-0045, Vol. 31, no 1, 95-99 p.Article in journal (Refereed) Published
Abstract [en]

When there is auxiliary information in survey sampling, the design based optimal regression estimator of a finite population mean is known to be at least asymptocially more effective than the corresponding GREG estimator . We show that the optimal estimator can be seen as a calibration estimator.

Place, publisher, year, edition, pages
2005. Vol. 31, no 1, 95-99 p.
Keyword [en]
Horwitz-Thompson Estimator, Regression Estimator, Survey sampling theory
National Category
Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-28827Local ID: 14017OAI: oai:DiVA.org:liu-28827DiVA: diva2:249639
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2011-01-12

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http://www.statcan.ca:8096/bsolc/english/bsolc?catno=12-001-XIE

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Andersson, Per Gösta

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