Practice makes perfect and alongside each of the core chapters the author team has created downloadable R code for students to employ.
Downloadable R Code (.txt format)
Chapter 1 – Introduction
Chapter 2 – Summary statistics and elementary data presentation
Chapter 3 – Basic hypothesis tests
Chapter 4 – An introduction to regression
Chapter 5 – The extra sum of squares principle and regression modelling assumptions
Chapter 6 – Violations of regression modelling assumptions – autocorrelation
Chapter 7 – Violations of regression modelling assumptions – multicollinearity
Chapter 8 – Dummy variable regression models
Chapter 9 – Qualitative response regression models
Chapter 10 – Linear mixed and generalised linear mixed models
Chapter 11 – Non-financial time series models
Chapter 12 – Modelling financial price data
Chapter 13 – ARCH/GARCH models
Order your copy
If you are an instructor considering adopting this book for your course, you can order your inspection copy here; if you are a student, or indeed, anyone else interested in the book, you can buy a copy in print or eBook form here.
