Assessing local influence in restricted regression models

Abstract In this paper we propose a score distance in order to detect influential observations on the removal of the ordinary least-squares estimate outside the restricted parametric region in inequality constrained linear regression models. We apply the local influence method (Cook, J. Roy. Statist. Soc. Ser. B. 48, 1986) to assess the effect of small perturbations on this displacement. The results are extended to generalized linear models and two illustrative examples are given.

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