Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

Controlling the significance levels of prediction error tests for linear regression models

From MaRDI portal
Publication:4762173
Jump to:navigation, search

DOI10.1111/1368-423X.00039zbMath0964.62050OpenAlexW2113693937MaRDI QIDQ4762173

Leslie G. Godfrey, Chris D. Orme

Publication date: 19 July 2001

Published in: The Econometrics Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1368-423x.00039


zbMATH Keywords

bootstrapMonte Carlonon-normality


Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Nonparametric statistical resampling methods (62G09)


Related Items (6)

The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models ⋮ Improvement of the quasi‐likelihood ratio test in ARMA models: some results for bootstrap methods ⋮ Parameter instability in quantile regression ⋮ Quantile regression estimates and the analysis of structural breaks ⋮ The asymptotic distribution of the F‐test statistic for individual effects ⋮ Using bootstrap methods to obtain non-normality robust Chow prediction tests.







This page was built for publication: Controlling the significance levels of prediction error tests for linear regression models

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:4762173&oldid=19040468"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
This page was last edited on 7 February 2024, at 23:08.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki