Runs Scored in World Baseball Classic
Summary
The article analyzes forecast methods for the total runs in the World Baseball Classic knockout stage, starting with a baseline forecast and moving to a negative binomial (NB) model to handle overdispersed counts. It demonstrates how aggregating per-game counts with NB parameters mu and r yields a tighter forecast interval, and explains the intuition behind Poisson, geometric, and NB distributions. A practical takeaway is applying NB modeling to other overdispersed count data in forecasting contexts.