Middle censoring in the multinomial distribution with applications

S. Rao Jammalamadaka and Sudeep R. Bapat

Statistics & Probability Letters, 2020, vol. 167, issue C

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.

Keywords: Middle-censoring; Multinomial; Dirichlet; Bayes Estimation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1016/j.spl.2020.108916

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