Coolen-Maturi, Tahani (2020) 'The ordering of future observations from multiple groups.', Communications in statistics - simulation and computation. .
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.
Item Type: | Article |
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Full text: | (AM) Accepted Manuscript Download PDF (363Kb) |
Status: | Peer-reviewed |
Publisher Web site: | https://doi.org/10.1080/03610918.2020.1839768 |
Publisher statement: | This is an original manuscript / preprint of an article published by Taylor & Francis in Communications in statistics - simulation and computation. on 30 October 2020, available online: http://www.tandfonline.com//10.1080/03610918.2020.1839768 |
Date accepted: | 16 October 2020 |
Date deposited: | 29 September 2020 |
Date of first online publication: | 30 October 2020 |
Date first made open access: | 30 October 2021 |
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