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020 _a9780387707822
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024 7 _a10.1007/978-0-387-70782-2
_2doi
050 4 _aQA276-280
072 7 _aJHBC
_2bicssc
072 7 _aSOC027000
_2bisacsh
072 7 _aJHBC
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082 0 4 _a519.5
100 1 _aLavallée, Pierre.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIndirect Sampling
_h[electronic resource] /
_cby Pierre Lavallée.
250 _a1st ed. 2007.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2007.
300 _aXVI, 256 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Statistics,
_x0172-7397
505 0 _aDescription and Use of the GWSM -- Literature Review -- Properties -- Other Generalisations -- Application in Longitudinal Surveys -- GWSM and Calibration -- Non-response -- GWSM and Record Linkage -- Conclusion.
520 _aFollowing the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a list representing the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population. The example of a survey of children where the statistician only has a list of adult persons is a typical case. In this case, the statistician first draws a sample of adults, and for each selected adult, the statistician then identifies his/her children. The survey is done from the latter. This is what is called indirect sampling. When indirect sampling is used jointly with the sampling of clusters of persons (families, for example), many complications arise for the survey statistician. One of the complications relates to the computation of the estimates from the survey. The production of estimates of simple totals or means can then become nightmares for the survey statistician. To solve this problem, the author proposes a simple solution, easy to implement, that is called the generalised weight share method. This book is the reference on indirect sampling and the generalised weight share method. It contains the different developments done by the author on these subjects. The theory surrounding them is presented, but also different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a context of indirect sampling. Pierre Lavallée has been a survey statistician at Statistics Canada since 1985. He gas worked in social, business, and agricultural surveys. He has also worked for Eurostat in Luxembourg.
650 0 _aStatistics .
650 0 _aPopulation.
650 0 _aQuality of life.
650 0 _aDemography.
650 0 _aSocial sciences.
650 1 4 _aStatistics for Social Sciences, Humanities, Law.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17040
650 2 4 _aStatistical Theory and Methods.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S11001
650 2 4 _aPopulation Economics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/W38000
650 2 4 _aQuality of Life Research.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X23000
650 2 4 _aDemography.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X25000
650 2 4 _aMethodology of the Social Sciences.
_0https://scigraph.springernature.com/ontologies/product-market-codes/X17000
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781441924216
776 0 8 _iPrinted edition:
_z9780387565286
776 0 8 _iPrinted edition:
_z9780387707785
830 0 _aSpringer Series in Statistics,
_x0172-7397
_938885
856 4 0 _uhttps://s443-doi-org.br.lsproxy.net/10.1007/978-0-387-70782-2
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