8 References

[1] Footbal-Data.co.uk. Accessed: 2019-06-01. <URL: http://www.football-data.co.uk/englandm.php>.

[2] L. A. Asimow and M. M. Maxwell. Probability and Statistics with Applications: A Problem Solving Text. 2nd. ACTEX Publications, 2015. ISBN: 9781625424723.

[3] R. P. Dobrow. Introduction to Stochastic Processes with R. John Wiley & Sons, Inc, 2016. ISBN: 9781118740651. DOI: 10.1002/9781118740712. <URL: https://books.google.com/books?id=CQ2ACgAAQBAJ>.

[4] J. Fox. Applied Regression Analysis and Generalized Linear Models. SAGE Publications, 2015. ISBN: 9781483321318. <URL: https://books.google.com/books?id=3wrwCQAAQBAJ>.

[5] D. Panchenko. 18.650 Statistics for Applications. License: Creative Commons BY-NC-SA. 2006. <URL: https://ocw.mit.edu/>.

[6] K. Singh, S. Shastri, A. Bhadwal, et al. “Implementation of Exponential Smoothing for Forecasting Time Series Data”. In: International Journal of Scientific Research in Computer Science Applications and Management Studies (Jan. 2019).

[7] H. Wickham and G. Grolemund. R for Data Science. O’Reilly Media, Inc., Dec. 2016. <URL: https://r4ds.had.co.nz/>.

[8] Y. Xie. knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.26.1. 2019. <URL: https://yihui.org/knitr/>.

[9] Y. Xie, J. Allaire, and G. Grolemund. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman and Hall/CRC, 2018. ISBN: 9781138359338. <URL: https://bookdown.org/yihui/rmarkdown>.

[10] S. Yang and G. Berdine. “Poisson Regression”. In: The Southwest Respiratory and Critical Care Chronicles 3 (Jan. 2015), p. 61. DOI: 10.12746/swrccc.v3i9.191.