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 in 1957, and a PhD in statistics in 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.
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.