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

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.

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Work Title A new estimation procedure for a partially nonlinear model via a mixed-effects approach
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Open Access
Creators
  1. Runze Li
  2. Lei Nie
Keyword
  1. Nonlinear mixed-effects model
  2. Partially linear model
  3. Partially nonlinear model
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Canadian Journal of Statistics
Publication Date February 17, 2009
Publisher Identifier (DOI)
  1. https://doi.org/10.1002/cjs.5550350305
Deposited July 19, 2022

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Version 1
published

  • Created
  • Added Can_J_Statistics_-_2009_-_Li_-_A_new_estimation_procedure_for_a_partially_nonlinear_model_via_a_mixed_effects_approach.pdf
  • Added Creator Runze Li
  • Added Creator Lei Nie
  • Published
  • Updated Keyword, Publication Date Show Changes
    Keyword
    • Nonlinear mixed-effects model, Partially linear model, Partially nonlinear model
    Publication Date
    • 2007-09-01
    • 2009-02-17
  • Updated