Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/19621
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| Title: | Confidence intervals for large non- centrality parameter |
| Authors: | Inácio, S.
Oliveira, M.
Mexia, J.T. |
| Editors: | Zmyślony, R. |
| Keywords: | asymptotic linearity
non-centrality parameters
highly significant F tests
measure relevance |
| Issue Date: | 2-May-2015 |
| Publisher: | Discussiones Mathematicae Probability and Statistics |
| Citation: | Inácio, S. T., Oliveira, M. M., Mexia, J.T. 2015. Confidence intervals for large non-centrality parameter. Discussiones Mathematicae Probability and Statistics 35.45–56 doi:10.7151/dmps.1175. ISSN 1509-9423,ISSN 2084-0381. |
| Abstract: | We use asymptotic linearity to derive confidence intervals for large noncentrality parameters. These results enable us to measure relevance of effects
and interactions in multifactors models when we get highly statistically significant the values of F tests statistics. We show how to use our approach by considering two sets of data as application examples. |
| URI: | http://hdl.handle.net/10174/19621 |
| ISSN: | 2084-0381 |
| Type: | article |
| Appears in Collections: | CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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