Markov Chain Models for the Near Real-Time Forecasting of Australian Football League Match Outcomes
暂无分享,去创建一个
[1] Sam Robertson,et al. Explaining match outcome in elite Australian Rules football using team performance indicators , 2016, Journal of sports sciences.
[2] Erik Štrumbelj,et al. Simulating a basketball match with a homogeneous Markov model and forecasting the outcome , 2012 .
[3] R H Jones,et al. Multi-state models and diabetic retinopathy. , 1995, Statistics in medicine.
[4] Stephen R Clarke,et al. Home advantage in the Australian football league , 2005, Journal of sports sciences.
[5] S. Reicher,et al. The Psychology of Crowd Dynamics , 2008 .
[6] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[7] Hadley Wickham,et al. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .
[8] J. Kalbfleisch,et al. The Analysis of Panel Data under a Markov Assumption , 1985 .
[9] Rodney X. Sturdivant,et al. Applied Logistic Regression: Hosmer/Applied Logistic Regression , 2005 .
[10] Christopher H. Jackson,et al. Multi-State Models for Panel Data: The msm Package for R , 2011 .
[11] P. Scarf,et al. Forecasting test cricket match outcomes in play , 2012 .
[12] D. O. Logofet,et al. The mathematics of Markov models: what Markov chains can really predict in forest successions. , 2000 .
[13] William N. Venables,et al. Modern Applied Statistics with S , 2010 .
[14] Stephen R. Clarke,et al. Predictions and home advantage for Australian rules football , 1992 .