References

The following books have served as references while writing Foundations of Applied Statistics:

• All of Statistics, by Larry Wasserman
• All of Nonparametric Statistics, by Larry Wasserman
• The Elements of Data Analytic Style, by Jeff Leek
• The Elements of Statistical Learning, by Hastie, Tibshirani, and Friedman
• Nonparametric Regression and Generalized Linear Models: A roughness penalty approach, by Green and Silverman
• Pattern Recognition and Machine Learning, by Christopher Bishop
• R for Data Science, by Wickham and Grolemund
• R Programming for Data Science, by Roger Peng
• Statistical Inference, by Casella and Berger