A new estimation procedure for a partially nonlinear model via a mixed-effects approach

Runze Li, Lei Nie

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The authors consider the estimation of the parametric component of a partially nonlinear semiparametric regression model whose nonparametric component is viewed as a nuisance parameter. They show how estimation can proceed through a nonlinear mixed-effects model approach. They prove that under certain regularity conditions, the proposed estimate is consistent and asymptotically Gaussian. They investigate its finite-sample properties through simulations and illustrate its use with data on the relation between the photosynthetically active radiation and the net ecosystem-atmosphere exchange of carbon dioxide.

Original languageEnglish (US)
Pages (from-to)399-411
Number of pages13
JournalCanadian Journal of Statistics
Volume35
Issue number3
DOIs
StatePublished - Sep 2007

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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