Toward the Notion of Intrinsically Linear Models in Nonlinear Regression

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Abstract

We discuss a refinement of the notion of intrinsical linearity of nonlinear regression models. We show that some known nonlinear regression models satisfy this definition. This fact allows us to find the shortest way to construct consistent (or asymptotically normal) estimators for the parameters of such models. Moreover, we show that one of the known previous interpretations of this notion may lead to inconsistent estimation procedures.

Original languageEnglish
Pages (from-to)210-216
Number of pages7
JournalSiberian Advances in Mathematics
Volume29
Issue number3
DOIs
Publication statusPublished - 1 Jul 2019

Keywords

  • explicit estimator
  • intrinsically linear model
  • nonlinear regression

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