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All (2)
All (2) ((2 results))
- Articles and reports: 12-001-X197900254833Description:
This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.
Release date: 1979-12-14 - 2. Controlled random rounding ArchivedArticles and reports: 12-001-X197500254825Description:
Random rounding is a technique to ensure confidentiality of aggregate statistics. By randomly rounding all the components of a total, independently, together with the random rounding of the total itself, substantial discrepancies may arise when aggregating the published data. This paper presents a procedure which avoids substantial discrepancies while still protecting the concept of confidentiality.
Release date: 1975-12-15
Stats in brief (0)
Stats in brief (0) (0 results)
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Articles and reports (2)
Articles and reports (2) ((2 results))
- Articles and reports: 12-001-X197900254833Description:
This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.
Release date: 1979-12-14 - 2. Controlled random rounding ArchivedArticles and reports: 12-001-X197500254825Description:
Random rounding is a technique to ensure confidentiality of aggregate statistics. By randomly rounding all the components of a total, independently, together with the random rounding of the total itself, substantial discrepancies may arise when aggregating the published data. This paper presents a procedure which avoids substantial discrepancies while still protecting the concept of confidentiality.
Release date: 1975-12-15
Journals and periodicals (0)
Journals and periodicals (0) (0 results)
No content available at this time.
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