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Signatur: UBN/ST 601 H711   QR-Code
Standort: Zweigstelle Neuenheim / Freihandbereich Monograph  3D-Plan
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Verfasst von:Hoffmann, John P. [VerfasserIn]   i
Titel:Linear regression models
Titelzusatz:applications in R
Verf.angabe:John P. Hoffmann
Verlagsort:Boca Raton ; London ; New York
Verlag:CRC Press, Taylor & Francis Group
Jahr:2022
Umfang:xv, 420 Seiten
Illustrationen:Illustrationen, Diagramme
Gesamttitel/Reihe:Chapman & Hall/CRC statistics in social and behavioral sciences
Fussnoten:Literaturverzeichnis: Seite 399-410
ISBN:978-0-367-75368-9
 978-0-367-75366-5
Abstract:"Research in the social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment of these models and indispensable guidance about how to estimate them using the R software environment. After furnishing some background material, the author explains how to estimate simple and multiple LRMs in R, including how interpret their coefficients and understand their assumptions. Several chapters thoroughly describe these assumptions, and explain how to determine whether they are satisfied and how to modify the regression model if they are not. The book also includes chapters on specifying the correct model, adjusting for measurement error, understanding the effects of influential observations, and using the model with multilevel data. The concluding chapter presents an alternative model - logistic regression - designed for binary or two-category outcome variables. The book includes appendices that discuss data management and missing data, and provides simulations in R to test model assumptions"--
URL:Inhaltsverzeichnis: https://www.gbv.de/dms/tib-ub-hannover/1767774052.pdf
Schlagwörter:(s)Lineares Regressionsmodell   i / (s)R <Programm>   i / (s)Datenanalyse   i / (s)Methode der kleinsten Quadrate   i / (s)Multiple lineare Regression   i / (s)Varianzanalyse   i / (s)Bias   i
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Online-Ausgabe: Hoffmann, John P., 1962 - : Linear regression models. - First edition. - Boca Raton : CRC Press, 2022. - 1 Online-Ressource (xv, 420 Seiten)
 Erscheint auch als : Online-Ausgabe: Hoffmann, John P., 1962 - : Linear regression models. - Boca Raton : CRC Press, Taylor & Francis Group, 2022. - 1 Online-Ressource (xvi, 420 pages).
RVK-Notation:QH 234   i
 ST 601   i
 ST 250   i
K10plus-PPN:1767774052
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UBN/ST 601 H711QR-CodeZweigstelle Neuenheim / Freihandbereich Monographien3D-Planbestellbar
Mediennummer: 10661289

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