Beschreibung:
A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models.
Compares a number of new real data sets that enable students to learn how regression can be used in real life
Simple Linear Regression.- Diagnostics and Transformations for Simple Linear Regression.- Weighted Least Squares.- Multiple Linear Regression.- Diagnostics and Transformations for Multiple Linear Regression.- Variable Selection.- Logistic Regression.- Serially Correlated Errors.- Mixed Models.