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All (3) ((3 results))

  • 1. The development of Alberta Health Care records and their application to small-area population estimates Archived
    Articles and reports: 12-001-X198500214380
    Description:

    This paper examines the use of administrative files from Alberta’s Health Care Insurance Plans combined with Vital Statistics data as inputs for estimating population. Results, which are presented and compared with Census data, indicate that Health Care data can be used to produce accurate population estimates at the provincial level and for smaller areas such as census divisions and municipalities.

    Release date: 1985-12-16
  • 2. Cost-variance optimization for the Canadian Labour Force Survey Archived
    Articles and reports: 12-001-X198500114365
    Description:

    The cost-variance optimization of the design of the Canadian Labour Force Survey was carried out in two steps. First, the sample designs were optimized for each of the two major area types, the Self-Representing (SR) and the Non-Self-Representing (NSR) areas. Cost models were developed and parameters estimated from a detailed field study and by simulation, while variances were estimated using data from the Census of Population. The scope of the optimization included the allocation of sample to the two stages in the SR design, and the consideration of two alternatives to the old design in NSR areas. The second stage of optimization was the allocation of sample to SR and NSR areas.

    Release date: 1985-06-14
  • 3. Performance of ARIMA models in time series Archived
    Articles and reports: 12-001-X198500114366
    Description:

    This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.

    Release date: 1985-06-14
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. The development of Alberta Health Care records and their application to small-area population estimates Archived
    Articles and reports: 12-001-X198500214380
    Description:

    This paper examines the use of administrative files from Alberta’s Health Care Insurance Plans combined with Vital Statistics data as inputs for estimating population. Results, which are presented and compared with Census data, indicate that Health Care data can be used to produce accurate population estimates at the provincial level and for smaller areas such as census divisions and municipalities.

    Release date: 1985-12-16
  • 2. Cost-variance optimization for the Canadian Labour Force Survey Archived
    Articles and reports: 12-001-X198500114365
    Description:

    The cost-variance optimization of the design of the Canadian Labour Force Survey was carried out in two steps. First, the sample designs were optimized for each of the two major area types, the Self-Representing (SR) and the Non-Self-Representing (NSR) areas. Cost models were developed and parameters estimated from a detailed field study and by simulation, while variances were estimated using data from the Census of Population. The scope of the optimization included the allocation of sample to the two stages in the SR design, and the consideration of two alternatives to the old design in NSR areas. The second stage of optimization was the allocation of sample to SR and NSR areas.

    Release date: 1985-06-14
  • 3. Performance of ARIMA models in time series Archived
    Articles and reports: 12-001-X198500114366
    Description:

    This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.

    Release date: 1985-06-14
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