000 02278cam  2200361za 4500
0019.840391
003CaOODSP
00520221107151830
007cr |||||||||||
008170726s2001    onc    |o    f|0| 0 eng d
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aCS11-617/01-9E-PDF
1001 |aFelx, Pierre.
24510|aApplications of variance due to imputation in the Survey of Employment, Payrolls and Hours |h[electronic resource] / |cPierre Felx and Eric Rancourt.
260 |a[Ottawa] : |bStatistics Canada, |c2001.
300 |a19 p.
4901 |aWorking paper ; |v01-9
500 |aDigitized edition from print [produced by Statistics Canada].
500 |a"BSMD-2001-009E."
500 |a"September 2001."
504 |aIncludes bibliographic references.
5203 |a"Imputation is a well-known method for dealing with nonresponse in periodic business surveys conducted on a monthly basis. It is also well known that the ordinary variance formula underestimates the variance when imputation is used. As a direct result, the amount of variation due to imputation becomes a necessary calculation. This is especially important when estimates are required for arbitrary domains. Methods have been proposed for calculating the amount of variation due to imputation for arbitrary domains, for many different types of imputation, for a simple random sample without replacement. In this paper, we study the model-assisted approach for stratified simple random sampling when mean, trend and ratio imputation is used. The results obtained are applied to the Canadian Survey of Employment, Payrolls and Hours to better estimate the total variance, and to help determine whether there may be breaks between two redesign phases of the survey"--Abstract.
546 |aAbstract also in French.
69207|2gccst|aStatistical analysis
69207|2gccst|aMethodology
69207|2gccst|aSurveys
7001 |aRancourt, Eric.
7101 |aCanada. |bStatistics Canada. |bMethodology Branch.
830#0|aWorking paper (Statistics Canada. Methodology Branch)|v01-9|w(CaOODSP)9.834763
85640|qPDF|s3.26 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-617-01-9-eng.pdf