Survey Methodology
Comments by Camelia Goga and Anne Ruiz-GazenNote 1 on “Jean‑Claude Deville’s contributions to survey theory and official statistics”:

Jean‑Claude Deville: Mathematics lover, high-flying researcher, and visionary

  • Release date: January 3, 2024
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Abstract

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.

Key Words: Electricity consumption estimation; Functional data analysis; Generalized weight share method; Indirect sampling; Postal traffic estimation.

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How to cite

Goga, C., and Ruiz-Gazen, A. (2023). Comments on “Jean-Claude Deville’s contributions to survey theory and official statistics” ‒ Jean‑Claude Deville: Mathematics lover, high-flying researcher, and visionary. Survey Methodology, Statistics Canada, Catalogue No. 12-001-X, Vol. 49, No. 2. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2023002/article/00013-eng.htm.

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ISSN : 1492-0921

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Survey Methodology publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves. All papers will be refereed. However, the authors retain full responsibility for the contents of their papers and opinions expressed are not necessarily those of the Editorial Board or of Statistics Canada.

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Published by authority of the Minister responsible for Statistics Canada.

© His Majesty the King in Right of Canada, as represented by the Minister of Industry, 2024

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Catalogue No. 12-001-X

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