Coolen, F.P.A. and Coolen-Maturi, T. and Alqifari, H.N. (2017) 'Nonparametric predictive inference for future order statistics.', Communications in statistics : theory and methods. .
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.
|Full text:||Publisher-imposed embargo until 28 June 2018. |
(AM) Accepted Manuscript
First Live Deposit - 30 May 2017
File format - PDF (403Kb)
|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 28/06/2017, available online at: http://www.tandfonline.com/10.1080/03610926.2017.1342834|
|Record Created:||30 May 2017 09:43|
|Last Modified:||26 Oct 2017 16:40|
|Social bookmarking:||Export: EndNote, Zotero | BibTex|
|Look up in GoogleScholar | Find in a UK Library|