Analysis

A century of trust, safety, facts

Statistics Canada's Trust Centre: Learn how Statistics Canada keeps your data safe and protects your privacy.

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Year of publication

1 facets displayed. 1 facets selected.
Sort Help
entries

Results

All (4)

All (4) ((4 results))

  • Articles and reports: 12-001-X199300114471
    Description:

    Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114476
    Description:

    This paper focuses on how to deal with record linkage errors when engaged in regression analysis. Recent work by Rubin and Belin (1991) and by Winkler and Thibaudeau (1991) provides the theory, computational algorithms, and software necessary for estimating matching probabilities. These advances allow us to update the work of Neter, Maynes, and Ramanathan (1965). Adjustment procedures are outlined and some successful simulations are described. Our results are preliminary and intended largely to stimulate further work.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114479
    Description:

    Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.

    Release date: 1993-06-15

  • Articles and reports: 75-001-X199300216
    Geography: Canada
    Description:

    A note on changing employment patterns by industry sector over the last three decades in ten industrialized countries.

    Release date: 1993-06-08
Stats in brief (0)

Stats in brief (0) (0 results)

No content available at this time.

Articles and reports (4)

Articles and reports (4) ((4 results))

  • Articles and reports: 12-001-X199300114471
    Description:

    Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114476
    Description:

    This paper focuses on how to deal with record linkage errors when engaged in regression analysis. Recent work by Rubin and Belin (1991) and by Winkler and Thibaudeau (1991) provides the theory, computational algorithms, and software necessary for estimating matching probabilities. These advances allow us to update the work of Neter, Maynes, and Ramanathan (1965). Adjustment procedures are outlined and some successful simulations are described. Our results are preliminary and intended largely to stimulate further work.

    Release date: 1993-06-15

  • Articles and reports: 12-001-X199300114479
    Description:

    Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.

    Release date: 1993-06-15

  • Articles and reports: 75-001-X199300216
    Geography: Canada
    Description:

    A note on changing employment patterns by industry sector over the last three decades in ten industrialized countries.

    Release date: 1993-06-08
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Date modified: