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Validation du modèle

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Régression avec R

Part of the book series: Collection Pratique R ((Pratique R))

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Résumé

Nous rappelons le contexte :

$${Y_{n \times 1}} = {X_{n \times p}} {\beta _{p \times 1}} + {\varepsilon _{n \times 1}},$$

sous les hypothèses

  • H1 : rang(X) = p.

  • \({\mathcal{H}_2}:\mathbb{E}\left( \varepsilon \right) = 0, {\Sigma _\varepsilon } = {\sigma ^2} {I_n} ou {\mathcal{H}_3}:\varepsilon \sim \mathcal{N}\left( {0, {\sigma ^2} {I_n}} \right).\)

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© 2011 Springer-Verlag France

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Cornillon, PA., Matzner-Løber, E. (2011). Validation du modèle. In: Régression avec R. Collection Pratique R. Springer, Paris. https://doi.org/10.1007/978-2-8178-0184-1_4

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