1.8 Further reading

For readers interested in the mathematics needed for statistics, the books by Fox (2009), Gill (2006), and Moore and Siegel (2013) are useful. The essential matrix algebra needed for statistics is discussed in Fieller (2016). Accessible introductions to probability theory are Morin (2016) and Blitzstein and Hwang (2014). Kerns (2010) contains a very well-written and freely available general introduction to random variable theory and statistics, but assumes the reader knows the basics of calculus.

References

Blitzstein, Joseph K, and Jessica Hwang. 2014. Introduction to Probability. Chapman; Hall/CRC.

Fieller, Nick. 2016. Basics of Matrix Algebra for Statistics with R. Boca Raton, FL: CRC Press.

———. 2009. A Mathematical Primer for Social Statistics. 159. Sage.

Gill, Jeff. 2006. Essential Mathematics for Political and Social Research. Cambridge University Press Cambridge.

Kerns, G. Jay. 2010. Introduction to Probability and Statistics Using r.

Moore, Will H, and David A Siegel. 2013. A Mathematics Course for Political and Social Research. Princeton University Press.

Morin, David J. 2016. Probability: For the Enthusiastic Beginner. Createspace Independent Publishing Platform.