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Runs of Markov Chains and Streaks in Baseball

Author

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  • José Luis Palacios

    (Universidad Simón Bolívar)

Abstract

We find the almost sure limits of the proportions of the total number of runs, and of the number of runs of a given length, over the number of transitions, for the states of a finite irreducible Markov chain. We apply these results to the streaks of wins and losses of the Chicago White Sox in the years 1999 through 2008.

Suggested Citation

  • José Luis Palacios, 2010. "Runs of Markov Chains and Streaks in Baseball," Methodology and Computing in Applied Probability, Springer, vol. 12(4), pages 659-665, December.
  • Handle: RePEc:spr:metcap:v:12:y:2010:i:4:d:10.1007_s11009-009-9150-6
    DOI: 10.1007/s11009-009-9150-6
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    Cited by:

    1. Serkan Eryilmaz, 2014. "On Distributions of Runs in the Compound Binomial Risk Model," Methodology and Computing in Applied Probability, Springer, vol. 16(1), pages 149-159, March.

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    Keywords

    Runs; Streaks; Baseball;
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