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?:about
?:abstract
  • "Population structure is a key determinant of the efficiency of sampling plans and estimators. Variables in many establishment populations have structures that can be described by simple linear models with a single auxiliary variable and a variance related to some power of that auxiliary. If a working model can be devised that is a good approximation to the population structure, then very efficient sample designs and estimators are possible. This study compares alternative strategies of a) selecting a pilot study to estimate the variance power and using that estimate to select a main sample and b) selecting a only main sample based on an educated guess about the variance power. The authors also examine a number of sampling plans, including probability proportional to size, deep stratification based on a measure of size, and weighted balanced sampling. Population totals are estimated by best linear unbiased predictors, general regression estimators, and some other choices often used in practice." (author's abstract) (xsd:string)
?:contributor
?:dateModified
  • 2009 (xsd:gyear)
?:datePublished
  • 2009 (xsd:gyear)
?:doi
  • srm/2009.v3i1.72 ()
?:duplicate
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
?:isPartOf
?:issn
  • 1864-3361 ()
?:issueNumber
  • 1 (xsd:string)
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is ?:mainEntity of
?:name
  • Comparing sampling and estimation strategies in establishment populations (xsd:string)
?:provider
?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: Survey Research Methods, 3, 2009, 1, 27-44 (xsd:string)
rdf:type
?:url
?:volumeNumber
  • 3 (xsd:string)