TITLE

Nonlinear Varying-Coefficient Models with Applications to a Photosynthesis Study

AUTHOR(S)
Kürüm, Esra; Li, Runze; Wang, Yang; Şentürk, Damla
PUB. DATE
March 2014
SOURCE
Journal of Agricultural, Biological & Environmental Statistics (;Mar2014, Vol. 19 Issue 1, p57
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Motivated by a study on factors affecting the level of photosynthetic activity in a natural ecosystem, we propose nonlinear varying-coefficient models, in which the relationship between the predictors and the response variable is allowed to be nonlinear. One-step local linear estimators are developed for the nonlinear varying-coefficient models and their asymptotic normality is established leading to point-wise asymptotic confidence bands for the coefficient functions. Two-step local linear estimators are also proposed for cases where the varying-coefficient functions admit different degrees of smoothness; bootstrap confidence intervals are utilized for inference based on the two-step estimators. We further propose a generalized F-test to study whether the coefficient functions vary over a covariate. We illustrate the proposed methodology via an application to an ecology data set and study the finite sample performance by Monte Carlo simulation studies.
ACCESSION #
94741454

 

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