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.

Lien permanent pour cette publication :
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Renseignements sur la publication
Ministère/Organisme Canada. Statistics Canada. Methodology Branch. Household Survey Methods Division.
Titre Covariances and correlations in finite population sampling / Jack Gambino.
Titre de la série Working paper ; 2013-7
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Digitized edition from print [produced by Statistics Canada].
"September 2013."
"HSMD-2013-007E."
Includes bibliographic references.
Abstract also in French.
Information sur la publication [Ottawa] : Statistics Canada, 2013.
Auteur / Contributeur Gambino, Gioacchino,1954-
Description 17 p.
Numéro de catalogue
  • CS11-619/2013-7E-PDF
Numéro de catalogue du ministère 11-619E no. 2013-007
Descripteurs Methodology
Statistical analysis
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