Regression : linear models in statistics
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essent...
Salvato in:
| Autori principali: | , |
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| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | Springer Undergraduate Mathematics Series
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| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Regression, linear models in statistics, N. H. Bingham, John M. Fry, 2010, London, Springer, 1 vol. (XIII-284 p.), Springer Undergraduate Mathematics Series, 978-1-84882-968-8 • Regression, Texte imprimé, 9781848829701 |
Sommario:
- Linear Regression The Analysis of Variance (ANOVA) Multiple Regression Further Multilinear Regression Adding additional covariates and the Analysis of Covariance Linear Hypotheses Model Checking and Transformation of Data Generalised Linear Models Other topics