Biometrika centenary: sample surveys
Biometrika centenary: sample surveys
Despite Karl Pearso's stated aim that the ‘evolutionist has to become in the widest sense of the words a registrar-general for all forms of life’, the papers published in Biometrika on sample surveys have been mainly theoretical and do not start to appear until the 1940s.There has been little work on sampling in the life sciences, with the exception of capture–recapture methods. The major areas have been in variable probability designs, the foundations of inference for finite populations, analytic surveys and the role of selection mechanisms in inference. In recent years the work on survey analysis has been the outcome of an interaction between sample selection mechanisms and mainstream theory, with interesting consequences for both areas.
analytic inference, capture–recapture, case–control study, distribution function, ignorable design, missing values, model-based inference, optimal design, randomisation inference, variance estimation
167-194
Smith, T.M.F.
61602253-c2d6-43a1-862b-291379e75318
2001
Smith, T.M.F.
61602253-c2d6-43a1-862b-291379e75318
Abstract
Despite Karl Pearso's stated aim that the ‘evolutionist has to become in the widest sense of the words a registrar-general for all forms of life’, the papers published in Biometrika on sample surveys have been mainly theoretical and do not start to appear until the 1940s.There has been little work on sampling in the life sciences, with the exception of capture–recapture methods. The major areas have been in variable probability designs, the foundations of inference for finite populations, analytic surveys and the role of selection mechanisms in inference. In recent years the work on survey analysis has been the outcome of an interaction between sample selection mechanisms and mainstream theory, with interesting consequences for both areas.
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Published date: 2001
Keywords:
analytic inference, capture–recapture, case–control study, distribution function, ignorable design, missing values, model-based inference, optimal design, randomisation inference, variance estimation
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Statistics
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Local EPrints ID: 30039
URI: http://eprints.soton.ac.uk/id/eprint/30039
ISSN: 0006-3444
PURE UUID: 34e9f501-8242-43e8-99af-50ffd08636a9
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Date deposited: 11 May 2006
Last modified: 15 Mar 2024 07:36
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Author:
T.M.F. Smith
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