PropertyValue
?:abstract
  • "Losses due to nonresponse may lead to systematic biases in the samples which result in biased estimates. A usual way to compensate for this bias is the adjustment of the net sample to known population data. We choose another approach. If auxiliary information is available for each individual of the gross sample we adjust the net sample to the gross sample. The advantage is - in contrast to the usual post-stratification - that each element of the net sample may get an 'own' weight. For the construction of these weights the conditional minimax principle is applied. It determines optimal weights conditional on the selected net sample which minimizes the maximal loss under the assumption that a certain variance of the unknown population values in the gross sample is finite. The effects of our weighting procedure are shown for data of the German General Social Survey (ALLBUS) 1996." (xsd:string)
?:author
?:comment
  • (ALLBUS) (xsd:string)
?:dataSource
  • ALLBUS-Bibliography (xsd:string)
?:dateCreated
  • Aufgenommen: 16. Fassung, Juni 2000 (xsd:gyear)
?:dateModified
  • 1998 (xsd:gyear)
?:datePublished
  • 1998 (xsd:gyear)
?:duplicate
?:fromPage
  • 335 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:isPartOf
is ?:mainEntity of
?:name
  • A Conditional Minimax Estimator for Treating Nonresponse (xsd:string)
?:publicationType
  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In ZUMA-Nachrichten Spezial: Nonresponse in Survey Research, 4, 335-349, 1998 (xsd:string)
?:studyGroup
  • ALLBUS (xsd:string)
?:tags
  • 1998 (xsd:string)
  • ALLBUS (xsd:string)
  • ALLBUS1996 (xsd:string)
  • ALLBUS_input1999 (xsd:string)
  • ALLBUS_pro (xsd:string)
  • ALLBUS_version16 (xsd:string)
  • FDZ_ALLBUS (xsd:string)
  • article (xsd:string)
  • checked (xsd:string)
  • english (xsd:string)
  • indexproved (xsd:string)
  • noindex (xsd:string)
  • reviewed (xsd:string)
?:toPage
  • 349 (xsd:string)
rdf:type
?:volumeNumber
  • 4 (xsd:string)