A ridge-shrinkage method for range-restricted weight calibration in survey sampling / J. N. K. Rao and A. C. Singh.: CS11-619/97-6E-PDF

"The generalized regression (GR) method is often used to adjust sampling weights to satisfy benchmark constraints (BC), but some of the calibrated weights may not satisfy range restrictions (RR). BC are needed in the interest of efficiency due to correlated auxiliary information and also to make estimates internally consistent with published population totals, while RR are needed to avoid extreme weights which may render domain estimates inefficient. To address this problem, several iterative methods that attempt to meet both RR and BC have been proposed in the literature"--Abstract.

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Publication information
Department/Agency Canada. Statistics Canada. Methodology Branch.
Title A ridge-shrinkage method for range-restricted weight calibration in survey sampling / J. N. K. Rao and A. C. Singh.
Series title Working paper ; 97-6
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Digitized edition from print [produced by Statistics Canada].
"HSMD-97-006E."
"December 1997."
Includes bibliographic references.
Publishing information [Ottawa] : Statistics Canada, 1997.
Author / Contributor Rao, J. N. K.
Singh, Avinash C.
Description 11 p.
Catalogue number
  • CS11-619/97-6E-PDF
Departmental catalogue number 11-619E no. 97-06
Subject terms Methodology
Statistical analysis
Surveys
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