On methods of statistical matching with and without auxiliary information : some modifications and en empirical evaluation / A. C. Singh ... [et al.]. : CS11-613/90-16E-PDF

"In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could seriously bias the resulting joint relationships between variables. The use of appropriate auxiliary information could alleviate this problem to a great extent. In this report, methods of statistical matching corresponding to three methods of imputation, namely, hot deck, linear regression and log linear, with and without auxiliary information are considered"--Abstract.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.838992&sl=1

Renseignements sur la publication
Ministère/Organisme Canada. Statistics Canada. Methodology Branch.
Titre On methods of statistical matching with and without auxiliary information : some modifications and en empirical evaluation / A. C. Singh ... [et al.].
Titre de la série Working paper ; 90-16
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) Digitized edition from print [produced by Statistics Canada].
"Working Paper No. SSMD-90-016E."
"December 1990."
Includes bibliographic references.
Abstract in French.
Information sur la publication [Ottawa] : Statistics Canada, 1990.
Auteur / Contributeur Singh, Avinash C.
Description [65] p. : figures.
Numéro de catalogue
  • CS11-613/90-16E-PDF
Numéro de catalogue du ministère 11-613E no. 90-16
Descripteurs Methodology
Statistical analysis
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