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  • Articles and reports: 12-001-X202300200013
    Description: Jean-Claude Deville is one of the most prominent researcher in survey sampling theory and practice. His research on balanced sampling, indirect sampling and calibration in particular is internationally recognized and widely used in official statistics. He was also a pioneer in the field of functional data analysis. This discussion gives us the opportunity to recognize the immense work he has accomplished, and to pay tribute to him. In the first part of this article, we recall briefly his contribution to the functional principal analysis. We also detail some recent extension of his work at the intersection of the fields of functional data analysis and survey sampling. In the second part of this paper, we present some extension of Jean-Claude’s work in indirect sampling. These extensions are motivated by concrete applications and illustrate Jean-Claude’s influence on our work as researchers.
    Release date: 2024-01-03

  • Articles and reports: 12-001-X201900100003
    Description:

    In this short article, I will attempt to provide some highlights of my chancy life as a Statistician in chronological order spanning over sixty years, 1954 to present.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201700254888
    Description:

    We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.

    Release date: 2017-12-21

  • Articles and reports: 75F0002M2011003
    Description:

    Existing studies on Canadian poverty (or low-income) dynamics are mainly based on 1990s data from the Longitudinal Administrative Database or the Survey of Labour and Income Dynamics (SLID). These studies typically rely on a single low-income threshold.

    Our work extends the existing studies beyond 1999 by using SLID data from Panel 3 (1999 to 2004) and Panel 4 (2002 to 2007). We consider all three low-income thresholds established by federal departments: Statistics Canada's low-income cut-off (LICO) and low-income measure (LIM), and the market basket measure (MBM) of Human Resources and Skills Development Canada.

    Release date: 2011-10-21

  • Articles and reports: 11-522-X20050019443
    Description:

    A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20050029040
    Description:

    A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so. Examples where new theory is needed or where theory exists but is not used will also be presented.

    Release date: 2006-02-17

  • Articles and reports: 12-001-X198100214325
    Description:

    The author briefly reviews the factors determining the production of health statistics in Canada, with particular attention to the different sources of data and to the long-standing co-operation among the many agencies involved in the gathering of health-related information.

    Release date: 1981-12-15
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  • Articles and reports: 12-001-X202300200013
    Description: Jean-Claude Deville is one of the most prominent researcher in survey sampling theory and practice. His research on balanced sampling, indirect sampling and calibration in particular is internationally recognized and widely used in official statistics. He was also a pioneer in the field of functional data analysis. This discussion gives us the opportunity to recognize the immense work he has accomplished, and to pay tribute to him. In the first part of this article, we recall briefly his contribution to the functional principal analysis. We also detail some recent extension of his work at the intersection of the fields of functional data analysis and survey sampling. In the second part of this paper, we present some extension of Jean-Claude’s work in indirect sampling. These extensions are motivated by concrete applications and illustrate Jean-Claude’s influence on our work as researchers.
    Release date: 2024-01-03

  • Articles and reports: 12-001-X201900100003
    Description:

    In this short article, I will attempt to provide some highlights of my chancy life as a Statistician in chronological order spanning over sixty years, 1954 to present.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201700254888
    Description:

    We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.

    Release date: 2017-12-21

  • Articles and reports: 75F0002M2011003
    Description:

    Existing studies on Canadian poverty (or low-income) dynamics are mainly based on 1990s data from the Longitudinal Administrative Database or the Survey of Labour and Income Dynamics (SLID). These studies typically rely on a single low-income threshold.

    Our work extends the existing studies beyond 1999 by using SLID data from Panel 3 (1999 to 2004) and Panel 4 (2002 to 2007). We consider all three low-income thresholds established by federal departments: Statistics Canada's low-income cut-off (LICO) and low-income measure (LIM), and the market basket measure (MBM) of Human Resources and Skills Development Canada.

    Release date: 2011-10-21

  • Articles and reports: 11-522-X20050019443
    Description:

    A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20050029040
    Description:

    A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so. Examples where new theory is needed or where theory exists but is not used will also be presented.

    Release date: 2006-02-17

  • Articles and reports: 12-001-X198100214325
    Description:

    The author briefly reviews the factors determining the production of health statistics in Canada, with particular attention to the different sources of data and to the long-standing co-operation among the many agencies involved in the gathering of health-related information.

    Release date: 1981-12-15
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