Constructing initial estimators in one-step estimation procedures of nonlinear regression
Yu.Yu. Linke and
I.S. Borisov
Statistics & Probability Letters, 2017, vol. 120, issue C, 87-94
Abstract:
We discuss an approach to construct explicitly calculable consistent estimators for parameters of some nonlinear regression models. The estimators of such a kind can be used as initial estimators in one-step estimation procedures for unknown parameters of these models.
Keywords: Nonlinear regression; One-step M-estimator; Initial estimator; αn-consistency; Asymptotic normality (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:120:y:2017:i:c:p:87-94
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DOI: 10.1016/j.spl.2016.09.022
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