Linear models and regression with R: an integrated approach
Singapore: World Scientific, [2020]
Monographie, Gedruckte Ressource
- xxi, 750 Seiten
Zugriff:
Ermittle Ausleihstatus...
Regression and the normal distribution -- Estimation in the linear model -- Further inference in the linear model -- Model building and diagnostics in regression -- Analysis of variance -- General linear model -- Misspecified or unknown dispersion -- Updates in the general linear model -- Multivariate linear model -- Linear inference : other perspectives.
"Complete coverage of topics for a course on regression including data sets and implementation in R. Special topics covered include collinearity, misspecified models, Kalman filter, multivariate response, foundations of linear inference Comprehensive theory with latest literature and references and thorough treatment of the singular linear model"--
Titel: |
Linear models and regression with R: an integrated approach
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Werktitel: | Linear models |
Verantwortlichkeitsangabe: | Debasis Sengupta (Indian Statistical Institute, India), Sreenivasa Rao Jammalamadaka (Univesity of California, Santa Barbara, USA) |
Autor/in / Beteiligte Person: | Sengupta, Debasis ; Jammalamadaka, Sreenivasa Rao (1944-) |
Verwandtes Werk: | |
Veröffentlichung: | Singapore: World Scientific, [2020] |
Medientyp: | Monographie |
Datenträgertyp: | Gedruckte Ressource |
Umfang: | xxi, 750 Seiten |
ISBN: | 9789811200403 hardcover |
ISSN: | 1793-1169 |
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