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A multidimensional Newton-Raphson method and its applications to the existence of asymptotic Fn-estimators and their stochastic expansions
Authors:R. Michel
Affiliation:Mathematisches Institut der Universität Köln, Federal Republic of Germany
Abstract:Given a suitable function Fn we define a class of estimators called asymptotic Fn-estimators (i.e., estimators which approximate the solution of Fn(θ) = 0). It is proved that this class is nonvoid if appropriate regularity conditions are fulfilled and if one has at hand a suitable initial estimator. Furthermore, it is shown that Fn-estimators admit a stochastic expansion (which enables to give results on asymptotic expansions for the distribution of these estimators).
Keywords:62E20  62H99  Iteration procedure  stochastic expansions  maximum likelihood estimators  expansion for the distribution
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