Covariances and correlations in finite population sampling / Jack Gambino.: CS11-619/2013-7E-PDF

"Under the design-based framework, the derivation of covariance formulas can be tedious, but not much more tedious than the derivation of variances, which are a special case. in this paper we derive covariances under several simple sample designs, with an emphasis on partially overlapping samples. For simple random sampling, we also compare the design-based covariance to that obtained under the model-based approach. We also briefly look at correlations. The main benefit of the paper may be that it puts into one document several scattered results that are useful to survey statisticians"--Abstract.

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Publication information
Department/Agency Canada. Statistics Canada. Methodology Branch. Household Survey Methods Division.
Title Covariances and correlations in finite population sampling / Jack Gambino.
Series title Working paper ; 2013-7
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Digitized edition from print [produced by Statistics Canada].
"September 2013."
"HSMD-2013-007E."
Includes bibliographic references.
Abstract also in French.
Publishing information [Ottawa] : Statistics Canada, 2013.
Author / Contributor Gambino, Gioacchino,1954-
Description 17 p.
Catalogue number
  • CS11-619/2013-7E-PDF
Departmental catalogue number 11-619E no. 2013-007
Subject terms Methodology
Statistical analysis
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