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Bootstrap – oder die Kunst, sich selbst aus dem Sumpf zu ziehen

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Zusammenfassung

Computerbasierte Methoden haben die Anwendungsbreite der Statistik enorm erweitert. Simulationstechniken erlauben neue Zugänge zu komplexen Fragestellungen, die traditionell nur unter sehr restriktiven Annahmen möglich waren. Implementierung und Anwendung von rechenintensiven Algorithmen bieten neue Möglichkeiten, das für die Inferenzstatistik zentrale Konzept der Stichprobenverteilung transparenter und besser greifbar zu machen. Der Aufsatz diskutiert didaktischen Nutzen und mathematische Aspekte des Bootstrap-Verfahrens. Wir illustrieren das Verfahren mit einem Beispiel aus der Publikationsgeschichte der Semesterberichte.

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Author information

Authors and Affiliations

  1. Pädagogische Hochschule Ludwigsburg, 71634, Ludwigsburg, Germany

    Joachim Engel

  2. Institut für Mathematische Stochastik, Leibniz Universität Hannover, 30167, Hannover, Germany

    Rudolf Grübel

Authors
  1. Joachim Engel
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  2. Rudolf Grübel
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Correspondence to Joachim Engel.

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Mathematics subject classification (2000)

62-01, 62F40

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Engel, J., Grübel, R. Bootstrap – oder die Kunst, sich selbst aus dem Sumpf zu ziehen . Math. Semesterber. 55, 113–130 (2008). https://doi.org/10.1007/s00591-008-0036-4

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  • DOI: https://doi.org/10.1007/s00591-008-0036-4

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