Confidence intervals for large non-centrality parameters
Sonia Inacio ; Manuela M. Oliveira ; João Tiago Mexia
Discussiones Mathematicae Probability and Statistics, Tome 35 (2015), p. 45-56 / Harvested from The Polish Digital Mathematics Library
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We use asymptotic linearity to derive confidence intervals for large non-centrality 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.

Publié le : 2015-01-01
EUDML-ID : urn:eudml:doc:276606 
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Sonia Inacio; Manuela M. Oliveira; João Tiago Mexia. Confidence intervals for large non-centrality parameters. Discussiones Mathematicae Probability and Statistics, Tome 35 (2015) pp. 45-56. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1175/

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