Supporting materials

Count Data
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Recommended reading

• David Spiegelhalter's blog post on predicting the premier league results https://understandinguncertainty.org/node/763.
• David Spiegelhalter and Yin-Lam Ng's blog post on understanding uncertainty in football https://plus.maths.org/content/understanding-uncertainty-football-crazy.
• Dubins, L.E., Savage, L.J., Sudderth, W. and Gilat, D., 2014. How to gamble if you must: Inequalities for stochastic processes. Courier Corporation. [This is a weighty theoretically orientated statistical text.]
• Institute for Digital Research & Education, Statistical Consulting, UCLA https://stats.idre.ucla.edu/other/dae/.
• Cameron, A.C. and Trivedi, P.K., 2013. Regression analysis of count data (Vol. 53). Cambridge University Press.
• Long, J.S. and Freese, J., 2006. Regression models for categorical dependent variables using Stata. Stata press.
• Vuong, Q.H., 1989. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica: Journal of the Econometric Society, pp.307-333.