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Regression analysis for social sciences /
Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regressio...
| Cote: | Libro Electrónico |
|---|---|
| Auteur principal: | |
| Autres auteurs: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
San Diego, Calif. :
Academic Press,
©1998.
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| Sujets: | |
| Accès en ligne: | Texto completo |
Table des matières:
- Simple linear regression
- Multiple linear
- Categorical predictors
- Outlier analysis
- Residual analysis
- Polynomial regression
- Multicollinearity
- Multiple curvilinear regression
- Interaction terms in regression
- Robust regression
- Symmetric regression
- Variable selection techniques
- Regression for longitudinal data
- Piecewise regression
- Dichotomous criterion variables
- Computational issues.