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.
Files
Metadata
Work Title | A new estimation procedure for a partially nonlinear model via a mixed-effects approach |
---|---|
Access | |
Creators |
|
Keyword |
|
License | In Copyright (Rights Reserved) |
Work Type | Article |
Publisher |
|
Publication Date | February 17, 2009 |
Publisher Identifier (DOI) |
|
Deposited | July 19, 2022 |
Versions
Analytics
Collections
This resource is currently not in any collection.