This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in Data science, as well as researchers and practitioners.
It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive Data examples and providing R code for many methods..
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in Data science, as well as researchers and practitioners