Statistical Modeling Of The Performance Of All-Rounders In Female Test Cricket
DOI:
https://doi.org/10.53555/ks.v12i5.3304Keywords:
Multinomial logistic regression, Chi-square test, Batting and Bowling of females, Female, test match.Abstract
This study aimed to identify factors affecting the performance of women all-rounders in test cricket and examine the impact of bowling, batting, and wicket-keeping all-rounders on match outcomes. Logistic regression was employed to compare the performance of all-rounders with non-all-rounders, focusing on binary outcomes. The Chi-square test, using R² for goodness of fit, helped in model selection. All-rounders were categorized into wicket-keeper, bowling, and batting roles, with multinomial logistic regression used to assess performance differences. Significant factors included home-ground advantage, batting average, number of wickets, and first-innings performance. Batting and bowling all-rounders outperformed wicket-keepers.
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Copyright (c) 2024 Qamruz Zaman, Seema Zubair, Mansoor Ahmad, Sundas Hussain, Sofia Gul, Syed Habib Shah, Abdur Rehaman Sabir, Neelam
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.