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The ordering of future observations from multiple groups

Coolen-Maturi, Tahani

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Abstract

There are many situations where comparison of different groups is of great interest. Considering the ordering of the efficiency of some treatments is an example. We present nonparametric predictive inference (NPI) for the ordering of real-valued future observations from multiple independent groups. The uncertainty is quantified using NPI lower and upper probabilities for the event that the next future observations from these groups are ordered in a specific way. Several applications of these NPI lower and upper probabilities are explored, including multiple groups inference, diagnostic accuracy and ranked set sampling.

Citation

Coolen-Maturi, T. (2022). The ordering of future observations from multiple groups. Communications in Statistics - Simulation and Computation, 51(12), 7526-7543. https://doi.org/10.1080/03610918.2020.1839768

Journal Article Type Article
Acceptance Date Oct 16, 2020
Online Publication Date Oct 30, 2020
Publication Date 2022
Deposit Date Sep 28, 2020
Publicly Available Date Oct 30, 2021
Journal Communications in Statistics - Simulation and Computation
Print ISSN 0361-0918
Electronic ISSN 1532-4141
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 51
Issue 12
Pages 7526-7543
DOI https://doi.org/10.1080/03610918.2020.1839768

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