Sampling algorithms

Important progresses in the methods of sampling have been achieved. This book draws up an inventory of methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. This book is suitable for experienced statisticians who are familiar w...

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Detalles Bibliográficos
Autor principal: Tillé, Yves
Lenguaje:eng
Publicado: Springer 2006
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/0-387-34240-0
http://cds.cern.ch/record/1621575
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author Tillé, Yves
author_facet Tillé, Yves
author_sort Tillé, Yves
collection CERN
description Important progresses in the methods of sampling have been achieved. This book draws up an inventory of methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. This book is suitable for experienced statisticians who are familiar with the theory of survey sampling.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2006
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spelling cern-16215752021-04-21T21:51:14Zdoi:10.1007/0-387-34240-0http://cds.cern.ch/record/1621575engTillé, YvesSampling algorithmsMathematical Physics and MathematicsImportant progresses in the methods of sampling have been achieved. This book draws up an inventory of methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. This book is suitable for experienced statisticians who are familiar with the theory of survey sampling.Springeroai:cds.cern.ch:16215752006
spellingShingle Mathematical Physics and Mathematics
Tillé, Yves
Sampling algorithms
title Sampling algorithms
title_full Sampling algorithms
title_fullStr Sampling algorithms
title_full_unstemmed Sampling algorithms
title_short Sampling algorithms
title_sort sampling algorithms
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/0-387-34240-0
http://cds.cern.ch/record/1621575
work_keys_str_mv AT tilleyves samplingalgorithms

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