Carl-Erik Särndal

Carl-Erik Särndal (born 1937) is a Swedish-Canadian statistician. specializing in survey statistics. He held professorial appointments at Umeå University; University of British Columbia, Université de Montréal, and Statistics Sweden, Stockholm. He specialized in survey theory and methodology, especially with applications to official statistics production for a country. He worked, periodically, as researcher, expert and/or consultant, at national statistical agencies: Statistics Canada (Ottawa), Statistics Sweden (Stockholm) and Statistics Finland (Helsinki).

Education and professional years

Carl-Erik Särndal grew up in Sweden. He attended Lund University, where he earned a Bachelor of Science degree (1957), a PhD degree in statistics (1962). He was a professor at the Department of Statistics, Umeå University, Sweden, 1967–1970; Division of Management Science, Faculty of Commerce & Business Administration, University of British Columbia, Vancouver, 1970–1980; Département de mathématiques et de statistique, Université de Montréal, 1980–1997; Statistics Sweden, 1997–2002.

Research

Model assisted design-based inference; uses of auxiliary information in estimation; generalized regression (GREG) estimation; calibration weighting, in particular for survey nonresponse; critical examination of the probability sampling paradigm.

Honours and awards

Select bibliography

Books
  • C.M. Cassel, C.E. Särndal, J. Wretman (1977), Foundations of Inference in Survey Sampling. New York: Wiley, 192 pp.[4]
  • C.E. Särndal, B. Swensson, J. Wretman (1992), Model Assisted Survey Sampling. New York: Springer-Verlag, 695 pp, in paperback 2003.
  • C.E. Särndal, S. Lundström (2005), Estimation in Surveys with Nonresponse. New York: Wiley, 212 pp.[5]

Selected articles
  • C.M. Cassel, C.E. Särndal and J.H. Wretman (1976), Some results on generalized difference estimation and generalized regression estimation for finite populations. Biometrika, 63, 615- 620.
  • J.C. Deville, C.E. Särndal (1992), Calibration estimators in survey sampling. Journal of the American Statistical Association, 87, 376–382.
  • C.E. Särndal (2007). The calibration approach in survey theory and practice. Survey Methodology Journal, 33(2), 99–119.

Further reading
  • R. Platek and C.E. Särndal (2001). Can a statistician deliver? Journal of Official Statistics, 17(1), 1–127, with discussions and rejoinder.
  • P.S. Kott (2005). An interview with the authors of Model Assisted Survey Sampling. Journal of Official Statistics, 21(2), 171–182.
  • D. Devaud and Y. Tillé (2019). Deville and Särndal's calibration: revisiting a 25-year-old successful optimization problem, TEST, 28(4), 1033–1091, with discussions and rejoinder.

References
  1. "Carl-Erik Särndal, Honorary Member 2002". Statistical Society of Canada.
  2. "Waksberg Award". Statistics Canada. 6 January 2022.
  3. "Docteur-e-s honoris causa". Université de Neuchâtel.
  4. Rao, Poduri S.R.S. (1 May 1980). "Foundations of Inference in Survey Sampling". Technometrics. 22 (2): 279–280. doi:10.1080/00401706.1980.10486148. ISSN 0040-1706.
  5. "Book and software review" (PDF). Journal of Official Statistics. 22. 2006.
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