An empirical comparison of several tests for parallelism of regression lines

DOI10.1080/03610917908812104zbMath0445.62076OpenAlexW2027106661MaRDI QIDQ3889952

C. F. Smit

Publication date: 1979

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610917908812104

zbMATH Keywords

rank testsempirical powerempirical comparisonempirical sizeintercepts of regression linesparallelism of regression linesrank estimators of regression parameter

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Monte Carlo methods (65C05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (1)

Approximate transformation trimmed mean methods to the test of simple linear regression slope equality

Cites Work

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• Rank score comparison of several regression parameters
• A non-parametric test of whether two simple regression lines are parallel
• An empirical comparison of two types of rank tests for the C-sample prgbteh in the univariate and bivariate cases

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