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  • Articles and reports: 12-001-X199000214533
    Description:

    A commonly used model for the analysis of time series models is the seasonal ARIMA model. However, the survey errors of the input data are usually ignored in the analysis. We show, through the use of state-space models with partially improper initial conditions, how to estimate the unknown parameters of this model using maximum likelihood methods. As well, the survey estimates can be smoothed using an empirical Bayes framework and model validation can be performed. We apply these techniques to an unemployment series from the Labour Force Survey.

    Release date: 1990-12-14

  • Articles and reports: 12-001-X199000114556
    Description:

    In this paper we present some important features of the history of sample surveys in Sweden, and we comment on related developments of sampling techniques (methods and theory) in official statistics. The account is organized into three periods as follows: (i) before 1900; (ii) 1900-1950; and (iii) after 1950. The emphasis is on the third period.

    Release date: 1990-06-15
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Articles and reports (2)

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

  • Articles and reports: 12-001-X199000214533
    Description:

    A commonly used model for the analysis of time series models is the seasonal ARIMA model. However, the survey errors of the input data are usually ignored in the analysis. We show, through the use of state-space models with partially improper initial conditions, how to estimate the unknown parameters of this model using maximum likelihood methods. As well, the survey estimates can be smoothed using an empirical Bayes framework and model validation can be performed. We apply these techniques to an unemployment series from the Labour Force Survey.

    Release date: 1990-12-14

  • Articles and reports: 12-001-X199000114556
    Description:

    In this paper we present some important features of the history of sample surveys in Sweden, and we comment on related developments of sampling techniques (methods and theory) in official statistics. The account is organized into three periods as follows: (i) before 1900; (ii) 1900-1950; and (iii) after 1950. The emphasis is on the third period.

    Release date: 1990-06-15
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