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Markus Kalisch & Lukas Meier
Logistische Regression [EPUB ebook]
Eine anwendungsorientierte Einfuhrung mit R

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Portada de Markus Kalisch & Lukas Meier: Logistische Regression (ePUB)

Dieses Open-Access-Buch gibt eine anwendungsorientierte Einführung in die logistische Regression. Ausgehend von Grundkenntnissen der linearen Regression wird diese zuerst als zweistufiges Modell interpretiert, was den Übergang zur logistischen Regression vereinfacht. Neben einer kompakten Einführung der entsprechenden Theorie liegt der Fokus auch auf der Umsetzung mit der Statistiksoftware R und der richtigen Formulierung der entsprechenden Ergebnisse. Alle Schritte werden anhand zahlreicher Beispiele illustriert. Hinzu kommt eine Einführung in die Klassifikation mit den entsprechenden Begriffen.

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Idioma Alemán ● Formato EPUB ● ISBN 9783658342258 ● Editorial Springer Fachmedien Wiesbaden ● Publicado 2021 ● Descargable 3 veces ● Divisa EUR ● ID 7893983 ● Protección de copia Adobe DRM

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