Applied Linear Regression Models continues to provide a blend of the theory and applications of regression models in real life situations. In this Fourth Edition, the authors have provided improved organization and expanded coverage of key concepts such as model selection and validation, logistic regression, regression trees, and neural networks. The use of graphics and real-world data sets in examples, exercises, and case studies has been intensified, reflecting the ever-increasing role of computing in statistics and modeling.

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