Introducing nonparametric predictive inference methods for reproducibility of likelihood ratio tests
| Autor: | Tahani Coolen-Maturi, Frank P. A. Coolen, Filipe J. Marques |
|---|---|
| Přispěvatelé: | DM - Departamento de Matemática, CMA - Centro de Matemática e Aplicações |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Reproducibility Lower and upper probabilities 05 social sciences Nonparametric predictive inference Nonparametric statistics Likelihood ratio test 01 natural sciences Beta distribution Reproducibility probability 010104 statistics & probability Predictive inference Simple (abstract algebra) Likelihood-ratio test 0502 economics and business Statistics 050211 marketing 0101 mathematics Mathematics |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP Journal of statistical theory and practice, 2019, Vol.13, pp.15 [Peer Reviewed Journal] |
| Popis: | 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. authorsversion published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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