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.
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| Department/Agency | Canada. Statistics Canada. Methodology Branch. |
|---|---|
| Title | On methods of statistical matching with and without auxiliary information : some modifications and en empirical evaluation / A. C. Singh ... [et al.]. |
| Series title | Working paper ; 90-16 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | Digitized edition from print [produced by Statistics Canada]. "Working Paper No. SSMD-90-016E." "December 1990." Includes bibliographic references. Abstract in French. |
| Publishing information | [Ottawa] : Statistics Canada, 1990. |
| Author / Contributor | Singh, Avinash C. |
| Description | [65] p. : figures. |
| Catalogue number |
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| Departmental catalogue number | 11-613E no. 90-16 |
| Subject terms | Methodology Statistical analysis |
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