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Description
Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing:
- Linear regression, including dummy variablesand predictor transformations for curvilinear relationships
- Binary, ordinal and multinomial logistic regression models for categorical data
- Models for count data, including Poisson, negative binomial, and zero-inflated regression
- Checking model assumptions and the dangers of overfitting
- Linear regression, including dummy variablesand predictor transformations for curvilinear relationships
- Binary, ordinal and multinomial logistic regression models for categorical data
- Models for count data, including Poisson, negative binomial, and zero-inflated regression
- Checking model assumptions and the dangers of overfitting
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 200
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781526424174
- Date de parution :
- 30-05-22
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 170 mm x 244 mm
- Poids :
- 331 g
