Toward the Notion of Intrinsically Linear Models in Nonlinear Regression

Результат исследования: Научные публикации в периодических изданияхстатья


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.

Язык оригиналаанглийский
Страницы (с-по)210-216
Число страниц7
ЖурналSiberian Advances in Mathematics
Номер выпуска3
СостояниеОпубликовано - 1 июл 2019