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Problèmes d'inférence statistique reliés à la transformation logarithmique en régression. 1988. Ung, C.-H.; Végiard, S. Canadian Journal of Forest Research 18 : 733-738.
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Abstract
In regression calculations, a return to the original scale after logarithmic transformation constitutes a bias. This paper analyses three methods of bias correction for point estimation of the mean and four methods of bias correction for the interval estimation of the mean; some details about the interval prediction of a new observation are given. The appropriateness of using the methods reviewed in various circumstances is also discussed.