Regression: Linear Models in Statistics

A self-contained, mathematical introduction to the development and theory of linear models aimed primarily at undergraduate students of mathematics. The clear and concise exposition is supported by a wealth of worked examples and exercises – with full solutions – making it ideal for self-study. A number of special topics, such as non-parametric regression and mixed models, time series, spatial processes and design of experiments are introduced providing avenues for further exploration. Includes supplementary material: sn.pub/extras