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  • Articles and reports: 12-001-X201400214118
    Description:

    Bagging is a powerful computational method used to improve the performance of inefficient estimators. This article is a first exploration of the use of bagging in survey estimation, and we investigate the effects of bagging on non-differentiable survey estimators including sample distribution functions and quantiles, among others. The theoretical properties of bagged survey estimators are investigated under both design-based and model-based regimes. In particular, we show the design consistency of the bagged estimators, and obtain the asymptotic normality of the estimators in the model-based context. The article describes how implementation of bagging for survey estimators can take advantage of replicates developed for survey variance estimation, providing an easy way for practitioners to apply bagging in existing surveys. A major remaining challenge in implementing bagging in the survey context is variance estimation for the bagged estimators themselves, and we explore two possible variance estimation approaches. Simulation experiments reveal the improvement of the proposed bagging estimator relative to the original estimator and compare the two variance estimation approaches.

    Release date: 2014-12-19

  • Articles and reports: 11-522-X201300014266
    Description:

    Monitors and self-reporting are two methods of measuring energy expended in physical activity, where monitor devices typically have much smaller error variances than do self-reports. The Physical Activity Measurement Survey was designed to compare the two procedures, using replicate observations on the same individual. The replicates permit calibrating the personal report measurement to the monitor measurement and make it possible to estimate components of the measurement error variances. Estimates of the variance components of measurement error in monitor-and self-report energy expenditure are given for females in the Physical Activity Measurement Survey.

    Release date: 2014-10-31

  • Articles and reports: 11-626-X2014040
    Description:

    This article in the Economic Insights series reports on the cumulative earnings over a 20-year period of college and bachelor's degree graduates from different fields of study. This article is part of a program at Statistics Canada that examines various dimensions of labour market outcomes of postsecondary graduates.

    Release date: 2014-10-28

  • Articles and reports: 82-003-X201400211902
    Geography: Canada
    Description:

    Based on 2004/2005 to 2009/2010 data from the Discharge Abstract Database, this study examines associations between unintentional injury hospitalizations and socio-economic status and location relative to an urban core in Dissemination Areas with a high percentage of First Nations identity residents versus a low percentage of Aboriginal identity residents based on the predominant Aboriginal group.

    Release date: 2014-02-19
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Articles and reports (4)

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

  • Articles and reports: 12-001-X201400214118
    Description:

    Bagging is a powerful computational method used to improve the performance of inefficient estimators. This article is a first exploration of the use of bagging in survey estimation, and we investigate the effects of bagging on non-differentiable survey estimators including sample distribution functions and quantiles, among others. The theoretical properties of bagged survey estimators are investigated under both design-based and model-based regimes. In particular, we show the design consistency of the bagged estimators, and obtain the asymptotic normality of the estimators in the model-based context. The article describes how implementation of bagging for survey estimators can take advantage of replicates developed for survey variance estimation, providing an easy way for practitioners to apply bagging in existing surveys. A major remaining challenge in implementing bagging in the survey context is variance estimation for the bagged estimators themselves, and we explore two possible variance estimation approaches. Simulation experiments reveal the improvement of the proposed bagging estimator relative to the original estimator and compare the two variance estimation approaches.

    Release date: 2014-12-19

  • Articles and reports: 11-522-X201300014266
    Description:

    Monitors and self-reporting are two methods of measuring energy expended in physical activity, where monitor devices typically have much smaller error variances than do self-reports. The Physical Activity Measurement Survey was designed to compare the two procedures, using replicate observations on the same individual. The replicates permit calibrating the personal report measurement to the monitor measurement and make it possible to estimate components of the measurement error variances. Estimates of the variance components of measurement error in monitor-and self-report energy expenditure are given for females in the Physical Activity Measurement Survey.

    Release date: 2014-10-31

  • Articles and reports: 11-626-X2014040
    Description:

    This article in the Economic Insights series reports on the cumulative earnings over a 20-year period of college and bachelor's degree graduates from different fields of study. This article is part of a program at Statistics Canada that examines various dimensions of labour market outcomes of postsecondary graduates.

    Release date: 2014-10-28

  • Articles and reports: 82-003-X201400211902
    Geography: Canada
    Description:

    Based on 2004/2005 to 2009/2010 data from the Discharge Abstract Database, this study examines associations between unintentional injury hospitalizations and socio-economic status and location relative to an urban core in Dissemination Areas with a high percentage of First Nations identity residents versus a low percentage of Aboriginal identity residents based on the predominant Aboriginal group.

    Release date: 2014-02-19
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