Constructing initial estimators in one-step estimation procedures of nonlinear regression

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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.

Original languageEnglish
Pages (from-to)87-94
Number of pages8
JournalStatistics and Probability Letters
Volume120
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Asymptotic normality
  • Initial estimator
  • Nonlinear regression
  • One-step M-estimator
  • α-consistency
  • LINEAR-REGRESSION
  • alpha(n)-consistency

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