About this document
Hapter 4 by tasmamaw2123 is a document available to read on EtoBox.
Chapter 4 discusses model selection and diagnostics, emphasizing the balance between model fit and simplicity while avoiding overfitting. It covers methods for comparing nested and non-nested models, including likelihood-ratio tests, AIC, and BIC, as well as measures of predictive power like McFadden R2 and classification tables. Additionally, it addresses model checking through goodness-of-fit tests, including the Pearson Chi-Squared statistic and deviance function.
- Author
- tasmamaw2123
- Language
- EN