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A list sequential sampling method suitable for real time sampling
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
Department of Statistics, University of Stockholm.
2008 (English)In: Scandinavian Journal of Statistics, ISSN 0303-6898, E-ISSN 1467-9469, Vol. 35, no 3, 466-483 p.Article in journal (Refereed) Published
Abstract [en]

A flexible list sequential πps sampling method is introduced and studied. It can reproduce any given sampling design without replacement, of fixed or random sample size. The method is a splitting method and uses successive updating of inclusion probabilities. The main advantage of the method is in real-time sampling situations where it can be used as a powerful alternative to Bernoulli and Poisson sampling and can give any desired second-order inclusion probabilities and thus considerably reduce the variability of the sample size.

Place, publisher, year, edition, pages
Oxford: Blackwell Publishing, 2008. Vol. 35, no 3, 466-483 p.
Keyword [en]
correlated Bernoulli and Poisson sampling, inclusion probabilities, list sequential sampling, martingale, πps sample, real-time sampling, splitting method, stationary process, 3P sampling, weak m-dependence
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-85380DOI: 10.1111/j.1467-9469.2008.00596.xOAI: oai:DiVA.org:umu-85380DiVA: diva2:693018
Available from: 2014-02-03 Created: 2014-02-03 Last updated: 2017-12-06Bibliographically approved

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