A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers

A truncated, mean-parameterized Conway-Maxwell-Poisson model is developed to handle under- and overdispersed count data owing individual heterogeneity. The truncated nature of the allows for a more direct implementation than utilized in previous work without too much computational burden. applied large dataset Test match cricket bowlers, where are form small counts range time from 1877 modern day, leading inclusion temporal effects account fundamental changes sport society. Rankings sportsmen women based on statistical often handicapped by popularity inappropriate traditional metrics, which found be flawed measures this instance. Inferences made using Bayesian approach deploying Markov Chain Monte Carlo algorithm obtain parameter estimates extract innate ability players. offers good fit indicates that there merit sophisticated measure ranking assessing bowlers.