Normality and significance testing in simple linear regression model for large sample sizes: a simulation study

DOI10.1080/03610918.2021.1916824OpenAlexW3158269241MaRDI QIDQ6172637

Unnamed Author

Publication date: 20 July 2023

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

Full work available at URL: https://doi.org/10.1080/03610918.2021.1916824

zbMATH Keywords

linear regressionKolmogorov-Smirnov test\(t\)-test

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The linear model and hypothesis. A general unifying theory
• Asymptotic Statistics
• Moving to a World Beyond “p < 0.05”
• ValidP-Values Behave Exactly as They Should: Some Misleading Criticisms ofP-Values and Their Resolution WithS-Values
• The p-Value Requires Context, Not a Threshold

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