A difference-based method for testing no effect in nonparametric regression-Reference-Cited by-同舟云学术

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A difference-based method for testing no effect in nonparametric regression

Published:2024-03-27 Issue: Volume: Page:
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Li Zhijian^ORCID,Tong Tiejun,Wang Yuedong

Funder

NIH Grant

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU- HKBU United International College

UIC Start-up Research Grant

General Research Fund

UIC research grant

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00180-024-01479-0.pdf

Reference38 articles.

1. Barry D, Hartigan JA (1990) An omnibus test for departures from constant mean. Ann Stat 18:1340–1357

2. Bliznyuk N, Carroll R, Genton M et al (2012) Variogram estimation in the presence of trend. Stat Interface 5(2):159–168

3. Brabanter KD, Brabanter JD, Moor BD et al (2013) Derivative estimation with local polynomial fitting. J Mach Learn Res 14:281–301

4. Chen JC (1994) Testing for no effect in nonparametric regression via spline smoothing techniques. Ann Inst Stat Math 46:251–265

5. Cox D, Koh E (1989) A smoothing spline based test of model adequacy in polynomial regression. Ann Inst Stat Math 41:383–400

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