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Probabilistic Recurrence Relations

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Abstract

A sampling of discrete probability problems, some of them coming from consulting work, is presented. We demonstrate how a probabilistic recurrence relation arises from the pit of the problem and present ways and means of solving the recurrence relation.

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Acknowledgements

H. Zhang would like to thank the Department of Environmental Health at the University of Cincinnati for the support and splendid hospitality during his visits.

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Authors and Affiliations

  1. Department of Environmental Health, Center for Genome Information, University of Cincinnati, Cincinnati, OH, 45267, USA

    M. Bhaskara Rao

Authors
  1. M. Bhaskara Rao
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  2. S. Kasala
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  3. H. Zhang
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Corresponding author

Correspondence to M. Bhaskara Rao .

Editor information

Editors and Affiliations

  1. , Statistical Science, Cornell University, Comstock Hall 1190, Ithaca, NY 14853, 14853, USA

    Martin T. Wells

  2. , Applied Statistics Unit, Indian Statistical Institute, Barrackpore Trunk Road 203, Kolkata, 700035, India

    Ashis SenGupta

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© 2011 Springer-Verlag Berlin Heidelberg

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Rao, M.B., Kasala, S., Zhang, H. (2011). Probabilistic Recurrence Relations. In: Wells, M., SenGupta, A. (eds) Advances in Directional and Linear Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2628-9_15

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