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Designbasierte Stichprobenverfahren

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Stichproben

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Zusammenfassung

Im vorherigen Kapitel haben wir die Sekundärinformation mit Hilfe eines Modells ausgenutzt, um den Schätzer für die Primärinformation zu verbessern. Die gezogene Stichprobe war jedoch eine einfache Zufallsstichprobe und das Stichprobendesign blieb somit unverändert. Dadurch hatte jedes Individuum der Population die gleiche Wahrscheinlichkeit, in die Stichprobe zu gelangen. Wir wollen dieses Konzept nun aufgeben und die Sekundärinformation schon bei dem Auswahlverfahren, d.h. bei der Wahl des Stichprobendesigns, ausnutzen. Das führt in der Regel dazu, dass die Individuen der Population unterschiedliche Wahrscheinlichkeiten erhalten, in die Stichprobe zu gelangen.

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Author information

Authors and Affiliations

  1. Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland

    Göran Kauermann

  2. Ludwig-Maximilians-Universität München, Institut für Statistik, Ludwigstraße 33, 80539, München, Deutschland

    Helmut Küchenhoff

Authors
  1. Göran Kauermann
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  2. Helmut Küchenhoff
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Correspondence to Göran Kauermann .

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Kauermann, G., Küchenhoff, H. (2011). Designbasierte Stichprobenverfahren. In: Stichproben. Springer-Lehrbuch. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12318-4_4

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