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All (5)

All (5) ((5 results))

  • 1. Comparison of alternative Labour Force Survey estimators Archived
    Articles and reports: 12-001-X20010015854
    Description:

    This paper looks at a range of estimators applicable to a regularly repeated household survey with controlled overlap between successive surveys. The paper shows how the Best Linear Unbiased Estimator (BLUE) based on a fixed window of time points can be improved by applying the technique of generalised regression. This improved estimator is compared to the AK estimator of Gurney and Daly (1965) and the modified regression estimator of Singh, Kennedy, Wu and Brisebois (1997), using data from the Australian Labour Force Survey.

    Release date: 2001-08-22
  • 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation Archived
    Articles and reports: 12-001-X20010015855
    Description:

    The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

    Release date: 2001-08-22
  • 3. Getting ready for the 2001 Census Archived
    Surveys and statistical programs – Documentation: 11-008-X20000045556
    Geography: Canada
    Description:

    This article provides information about the census and how the data gathered are used.

    Release date: 2001-03-12
  • 4. Leslie Kish - A life of giving Archived
    Notices and consultations: 12-001-X20000025530
    Description:

    Reflection on professor Leslie Kish's life and contributions to statistics. Some of the most significant books he wrote and statistical subjects he worked on are mentioned.

    Release date: 2001-02-28
  • 5. Hierarchical Bayes estimation of small area means using multi-level models Archived
    Articles and reports: 12-001-X20000025537
    Description:

    Standard multi-level models with random regression parameters are considered for small area estimation. We also extend the models by allowing unequal error variances or by assuming random effect models for both regression parameters and error variances.

    Release date: 2001-02-28
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Analysis (3)

Analysis (3) ((3 results))

  • 1. Comparison of alternative Labour Force Survey estimators Archived
    Articles and reports: 12-001-X20010015854
    Description:

    This paper looks at a range of estimators applicable to a regularly repeated household survey with controlled overlap between successive surveys. The paper shows how the Best Linear Unbiased Estimator (BLUE) based on a fixed window of time points can be improved by applying the technique of generalised regression. This improved estimator is compared to the AK estimator of Gurney and Daly (1965) and the modified regression estimator of Singh, Kennedy, Wu and Brisebois (1997), using data from the Australian Labour Force Survey.

    Release date: 2001-08-22
  • 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation Archived
    Articles and reports: 12-001-X20010015855
    Description:

    The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

    Release date: 2001-08-22
  • 3. Hierarchical Bayes estimation of small area means using multi-level models Archived
    Articles and reports: 12-001-X20000025537
    Description:

    Standard multi-level models with random regression parameters are considered for small area estimation. We also extend the models by allowing unequal error variances or by assuming random effect models for both regression parameters and error variances.

    Release date: 2001-02-28
Reference (2)

Reference (2) ((2 results))

  • 1. Getting ready for the 2001 Census Archived
    Surveys and statistical programs – Documentation: 11-008-X20000045556
    Geography: Canada
    Description:

    This article provides information about the census and how the data gathered are used.

    Release date: 2001-03-12
  • 2. Leslie Kish - A life of giving Archived
    Notices and consultations: 12-001-X20000025530
    Description:

    Reflection on professor Leslie Kish's life and contributions to statistics. Some of the most significant books he wrote and statistical subjects he worked on are mentioned.

    Release date: 2001-02-28
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