Optimal lineups in Twenty20 cricket

DOI10.1080/00949655.2015.1136629OpenAlexW2287096358MaRDI QIDQ5221504

Harsha P. Perera, J. Davis, Tim B. Swartz

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1136629

zbMATH Keywords

simulated annealingcricketrelative value statistics

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Simulating the progression of a professional snooker frame ⋮ Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach

Uses Software

• Snow
• snowfall
• snow

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Optimal batting orders in one-day cricket
• A Simulator for Twenty20 Cricket
• A criterion for comparing and selecting batsmen in limited overs cricket

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