Empirical Likelihood based Inference for Additive Partial Linear Measurement Error Models

This paper considers statistical inference for additive partial linear models when the linear covariate is measured with error. To improve the accuracy of the normal approximation based confidence intervals, we develop an empirical likelihood based statistic, which is shown to be asymptotically chi-...

Full description

Saved in:
Bibliographic Details
Main Authors: LIANG, HUA, SU, HAIYAN, THURSTON, SALLY W., MEEKER, JOHN D., HAUSER, RUSS
Format: Artigo
Language:Inglês
Published: 2009
Subjects:
Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2743498/
https://ncbi.nlm.nih.gov/pubmed/20161079
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1467-9469.2008.00632.x
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items