Nominations Sought for the 2023 Waksberg Award
The journal Survey Methodology has established an annual invited paper series in honor of the late Joseph Waksberg to recognize his outstanding contributions to survey statistics and methodology. Each year a prominent survey statistician is chosen to write a paper that reviews the development and current state of an important topic in the field of survey statistics and methodology. The paper reflects the mixture of theory and practice that characterized Joseph Waksberg’s work.
The recipient of the Waksberg Award will receive an honorarium and give the 2023 Waksberg Invited Address at the Statistics Canada Symposium, expected to be held in the autumn of 2023. The paper will be published in an upcoming issue of Survey Methodology (Targeted for December 2023).
The author of the 2023 Waksberg paper will be selected by a four-person committee appointed by Survey Methodology and the American Statistical Association. Nomination of individuals to be considered as authors or suggestions for topics should be sent before February 28, 2022 to the chair of the committee, Jack Gambino, email: Jack.firstname.lastname@example.org.
Previous Waksberg Award honorees and their invited papers are:
|2022||Roderick J. Little. Manuscript in preparation|
|2021||Sharon Lohr, “Multiple-frame surveys for a multiple-data-source world”, Survey methodology (expected for vol. 47, 2).|
|2020||Roger Tourangeau, “Science and survey management”, Survey Methodology, vol. 47, 1, 3-28.|
|2018||Jean-Claude Deville, “De la pratique à la théorie : l’exemple du calage à poids bornés”. 10ème Colloque francophone sur les sondages, Université Lumière Lyon 2.|
|2017||Donald B. Rubin, “Conditional calibration and the sage statistician”. Survey Methodology, vol. 45, 2, 187-198.|
|2016||Don A. Dillman, “The promise and challenge of pushing respondents to the Web in mixed-mode surveys”. Survey Methodology, vol. 43, 1, 3-30.|
|2015||Robert M. Groves, “Towards a quality framework for blends of designed and organic data”. Proceedings: Symposium 2016, Growth in Statistical Information: Challenges and Benefits.|
|2014||Constance F. Citro, “From multiple modes for surveys to multiple data sources for estimates”. Survey Methodology, vol. 40, 2, 137-161.|
|2013||Ken Brewer, “Three controversies in the history of survey sampling”. Survey Methodology, vol. 39, 2, 249-262.|
|2012||Lars Lyberg, “Survey quality”. Survey Methodology, vol. 38, 2, 107-130.|
|2011||Danny Pfeffermann, “Modelling of complex survey data: Why model? Why is it a problem? How can we approach it?”. Survey Methodology, vol. 37, 2, 115-136.|
|2010||Ivan P. Fellegi, “The organisation of statistical methodology and methodological research in national statistical offices”. Survey Methodology, vol. 36, 2, 123-130.|
|2009||Graham Kalton, “Methods for oversampling rare subpopulations in social surveys”. Survey Methodology, vol. 35, 2, 125-141.|
|2008||Mary E. Thompson, “International surveys: Motives and methodologies”. Survey Methodology, vol. 34, 2, 131-141.|
|2007||Carl-Erik Särndal, “The calibration approach in survey theory and practice”. Survey Methodology, vol. 33, 2, 99-119.|
|2006||Alastair Scott, “Population-based case control studies”. Survey Methodology, vol. 32, 2, 123‑132.|
|2005||J.N.K. Rao, “Interplay between sample survey theory and practice: An appraisal”. Survey Methodology, vol. 31, 2, 117-138.|