A computational approach test for comparing two linear regression models with unequal variances

DOI10.15672/HUJMS.784623zbMath1499.62239OpenAlexW3188068324MaRDI QIDQ5073781

Mehmet Akif Yazici, Esra Yiğit Gokpinar, Meral Ebegil, Fikri Gökpınar, Yaprak Arzu Ozdemir

Publication date: 3 May 2022

Published in: Hacettepe Journal of Mathematics and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15672/hujms.784623

zbMATH Keywords

computational approach testChow testparametric bootstrap testheteroscedasticity regression models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Monte Carlo methods (65C05)

Uses Software

• bootlib

Cites Work

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• Tests of Equality between Sets of Coefficients in Two Linear Regressions when Disturbance Variances are Unequal
• A fiducial p-value approach for comparing heteroscedastic regression models
• Testing the equality of several log-normal means based on a computational approach

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