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In-play forecasting of win probability in One-Day International cricket: A dynamic logistic regression model

  • Published:2016-01 Issue:1 Volume:32 Page:34-43
  • ISSN:0169-2070
  • Container-title:International Journal of Forecasting
  • language:en
  • Short-container-title:International Journal of Forecasting

Author:

Asif Muhammad,McHale Ian G.

Publisher

Elsevier BV

Subject

Business and International Management

Reference17 articles.

1. On entropy maximization principle;Akaike,1977

2. A new look at the Bayes procedure;Akaike;Biometrika,1978

3. Forecasting test cricket match outcomes in play;Akhtar;International Journal of Forecasting,2012

4. Predicting the match outcome in one day international cricket, while the game is in progress;Bailey;Journal of Sports Science and Medicine,2006

5. An ordered response model of test cricket performance;Brooks;Applied Economics,2002

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1. Individual and team performance in cricket;Royal Society Open Science;2024-07

2. To attract viewers based on batting strike rate: an analysis of men’s international Twenty20 cricket;Sport, Business and Management: An International Journal;2024-02-05

3. In-Game Win Prediction Models for Cricket;Communications in Computer and Information Science;2024

4. Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments;The American Statistician;2023-11-17

5. Modeling Tennis Matches Using Monte Carlo Simulations Incorporating Dynamic Parameters;2023 46th MIPRO ICT and Electronics Convention (MIPRO);2023-05-22
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