Linear Regression: An Introduction to Statistical Models
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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
LF/362362742/R
Data sheet
- Name of the Author
- Peter Martin
- Language
- English
- Series
- The SAGE Quantitative Research Kit
- ISBN
- 9781526424174
- Release date
- 2022
9 books by the same author:
Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introd...