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Middle censoring in the multinomial distribution with applications

Author

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  • Jammalamadaka, S. Rao
  • Bapat, Sudeep R.

Abstract

In a multinomial set-up with k possible outcomes, we develop estimation under a “middle censoring” paradigm, which is as defined in Jammalamadaka and Mangalam (2003). This problem has many special features because of the inter-dependent probabilities, which we explore here.

Suggested Citation

  • Jammalamadaka, S. Rao & Bapat, Sudeep R., 2020. "Middle censoring in the multinomial distribution with applications," Statistics & Probability Letters, Elsevier, vol. 167(C).
  • Handle: RePEc:eee:stapro:v:167:y:2020:i:c:s0167715220302194
    DOI: 10.1016/j.spl.2020.108916
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    References listed on IDEAS

    as
    1. S. Rao Jammalamadaka & Elvynna Leong, 2015. "Analysis of discrete lifetime data under middle-censoring and in the presence of covariates," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 905-913, April.
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