A nonparametric test for covariate-adjusted models

Jingxin Zhao and Chuanlong Xie

Statistics & Probability Letters, 2018, vol. 133, issue C, 65-70

Abstract: This paper provides a nonparametric test for covariate-adjusted models. The proposed test statistic, obtained by using the adjusted response and predictors, has the same limit distribution as when the response and predictors are observed directly.

Keywords: Covariate-adjusted model; Nonparametric test; Model checking (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217303188
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:133:y:2018:i:c:p:65-70

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2017.10.004

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().