Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Year of publication

2 facets displayed. 0 facets selected.

Author(s)

2 facets displayed. 1 facets selected.
Sort Help
entries

Results

All (2)

All (2) ((2 results))

  • Articles and reports: 12-001-X20000025533
    Description:

    It is common practice to estimate the design effect due to weighting by 1 plus the relative variance of the weights in the sample. This formula has been justified when the selection probabilities are uncorrelated with the variable of interest. An approximation to the design effect is provided to accommodate the situation in which correlation is present.

    Release date: 2001-02-28

  • Articles and reports: 12-001-X198800214589
    Description:

    The U.S. Bureau of the Census uses dual system estimates (DSEs) for measuring census coverage error. The dual system estimate uses data from the original enumeration and a Post Enumeration Survey. In measuring the accuracy of the DSE, it is important to know that the DSE is subject to several components of nonsampling error, as well as sampling error. This paper gives models of the total error and the components of error in the dual system estimates. The models relate observed indicators of data quality, such as a matching error rate, to the first two moments of the components of error. The propagation of error in the DSE is studied and its bias and variance are assessed. The methodology is applied to the 1986 Census of Central Los Angeles County in the Census Bureau’s Test of Adjustment Related Operations. The methodology also will be useful to assess error in the DSE for the 1990 census as well as other applications.

    Release date: 1988-12-15
Stats in brief (0)

Stats in brief (0) (0 results)

No content available at this time.

Articles and reports (2)

Articles and reports (2) ((2 results))

  • Articles and reports: 12-001-X20000025533
    Description:

    It is common practice to estimate the design effect due to weighting by 1 plus the relative variance of the weights in the sample. This formula has been justified when the selection probabilities are uncorrelated with the variable of interest. An approximation to the design effect is provided to accommodate the situation in which correlation is present.

    Release date: 2001-02-28

  • Articles and reports: 12-001-X198800214589
    Description:

    The U.S. Bureau of the Census uses dual system estimates (DSEs) for measuring census coverage error. The dual system estimate uses data from the original enumeration and a Post Enumeration Survey. In measuring the accuracy of the DSE, it is important to know that the DSE is subject to several components of nonsampling error, as well as sampling error. This paper gives models of the total error and the components of error in the dual system estimates. The models relate observed indicators of data quality, such as a matching error rate, to the first two moments of the components of error. The propagation of error in the DSE is studied and its bias and variance are assessed. The methodology is applied to the 1986 Census of Central Los Angeles County in the Census Bureau’s Test of Adjustment Related Operations. The methodology also will be useful to assess error in the DSE for the 1990 census as well as other applications.

    Release date: 1988-12-15
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Date modified: