Coolen, F.P.A. and Coolen-Maturi, T. and Alqifari, H.N. (2018) 'Nonparametric predictive inference for future order statistics.', Communications in statistics : theory and methods., 47 (10). pp. 2527-2548.
Abstract
This paper presents nonparametric predictive inference for future order statistics. Given data consisting of n real-valued observations, m future observations are considered and predictive probabilities are presented for the r-th ordered future observation. In addition, joint and conditional probabilities for events involving multiple future order statistics are presented. The paper further presents the use of such predictive probabilities for order statistics in statistical inference, in particular considering pairwise and multiple comparisons based on two or more independent groups of data.
| Item Type: | Article |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (403Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | https://doi.org/10.1080/03610926.2017.1342834 |
| Publisher statement: | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Communications in Statistics - Theory and Methods on 23/10/2017, available online at: http://www.tandfonline.com/10.1080/03610926.2017.1342834 |
| Date accepted: | 05 June 2017 |
| Date deposited: | 30 May 2017 |
| Date of first online publication: | 23 October 2017 |
| Date first made open access: | 23 October 2018 |
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