Verfasst von: | Hoffmann, John P. [VerfasserIn] |
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 / (s)R <Programm> / (s)Datenanalyse / (s)Methode der kleinsten Quadrate / (s)Multiple lineare Regression / (s)Varianzanalyse / (s)Bias |
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 |
| ST 601 |
| ST 250 |
K10plus-PPN: | 1767774052 |
978-0-367-75368-9,978-0-367-75366-5
Linear regression models / Hoffmann, John P. [VerfasserIn]; 2022
68806127