Marques, F.J. and Coolen, F.P.A. and Coolen-Maturi, T. (2019) 'Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests.', Journal of statistical theory and practice., 13 . p. 15.
Abstract
This paper introduces the nonparametric predictive inference approach for reproducibility of likelihood ratio tests. The general idea of this approach is outlined for tests between two simple hypotheses, followed by an investigation of reproducibility for tests between two beta distributions. The paper reports on the first steps of a wider research programme towards tests involving composite hypotheses and substantial computational challenges.
| Item Type: | Article |
|---|---|
| Full text: | (AM) Accepted Manuscript Download PDF (344Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | https://doi.org/10.1007/s42519-018-0020-9 |
| Publisher statement: | This is a post-peer-review, pre-copyedit version of an article published in Journal of statistical theory and practice. The final authenticated version is available online at: https://doi.org/10.1007/s42519-018-0020-9 |
| Date accepted: | 13 October 2018 |
| Date deposited: | 16 October 2018 |
| Date of first online publication: | 31 October 2018 |
| Date first made open access: | 31 October 2019 |
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