5.4 Further reading

A complete introduction to the theory of linear algebra needed for statistics is provided in Fieller (2016). A good introduction to linear modeling theory is Fox (1997). Other useful textbooks are Draper and Smith (1998), Dobson and Barnett (2011), Seber and Lee (2012), and Montgomery, Peck, and Vining (2012). The classic textbook for generalized linear models is McCullagh and Nelder (2019).

References

Dobson, Annette J, and Adrian Barnett. 2011. An Introduction to Generalized Linear Models. CRC press.

Draper, Norman R., and Harry Smith. 1998. Applied Regression Analysis. New York: Wiley.

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

Fox, John. 1997. Applied Regression Analysis, Linear Models, and Related Methods. Sage Publications, Inc.

McCullagh, Peter, and J. A. Nelder. 2019. “Generalized Linear Models.”

Montgomery, D. C., E. A. Peck, and G. G. Vining. 2012. An Introduction to Linear Regression Analysis. 5th ed. Hoboken, NJ: Wiley.

Seber, George AF, and Alan J Lee. 2012. Linear Regression Analysis. Vol. 329. John Wiley & Sons.