2nd Edition
Modern Statistics with R From Wrangling and Exploring Data to Inference and Predictive Modelling
1. Introduction
2. The basics
3. The cornerstones of statistics
4. Exploratory data analysis and unsupervised learning
5. Dealing with messy data
6. R programming
7. The role of simulation in modern statistics
8. Regression models
9. Survival analysis and censored data
10. Structural equation models, factor analysis, and mediation
11. Predictive modelling and machine learning
12. Advanced topics
13. Debugging
14. Mathematical appendix
Bibliography
Index
Biography
Måns Thulin is a consultant, researcher, and teacher in Statistics. He started teaching Statistics with R at Uppsala University in 2007, while still an undergraduate student. Since then, he has used Statistics and R to tackle problems in diverse fields, ranging from how to identify nuclear fuel and how to improve milking robots, to wine tastings and designing music videos. His awardwinning research in Statistical Methodology is concerned with modern approaches to classical statistical methods.
