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Kovarianzselektion als Explorative Methode

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Explorative Datenanalyse

Part of the book series: Medizinische Informatik und Statistik ((MEDINFO,volume 26))

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Zusammenfassung

Die Theorie der Kovarianzselektion - insbesondere die der Untergruppe des multiplikativen Modelle -wird kurz beschrieben. Es wird gezeigt, inwiefern jedes multiplikative Kovarianzselektionsmodell einem System von Regressionsgleichungen und einem Modell der Pfadanalyse entspricht. Anhand eines vorgegebenen Datensatzes wird schließlich verdeutlicht, wie man Kovarianzselektion zur Datenexploration verwenden kann.

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Author information

Authors and Affiliations

  1. Psychologisches Institut Abt. Statistik, Universität Mainz, Saarstr. 1, D - 6500, Mainz, Deutschland

    Prof. Dr. N. Wermuth

Authors
  1. Prof. Dr. N. Wermuth
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Editor information

Editors and Affiliations

  1. Abt. Biomathematik, FB 18, Universität Gießen, Heinrich-Buff-Ring 44, 6300, Gießen, Germany

    N. Victor

  2. Institut für Medizinische Informatik und Systemforschung, Gesellschaft für Strahlen- und Umweltforschung mbH, Arabellastraße 4/III, 8000, München 81, Germany

    W. Lehmacher  & W. van Eimeren  & 

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© 1980 Springer-Verlag Berlin Heidelberg

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Wermuth, N. (1980). Kovarianzselektion als Explorative Methode. In: Victor, N., Lehmacher, W., van Eimeren, W. (eds) Explorative Datenanalyse. Medizinische Informatik und Statistik, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-81515-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-81515-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10281-6

  • Online ISBN: 978-3-642-81515-7

  • eBook Packages: Springer Book Archive

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