Goodness and lack of fit tests to pretest normality when comparing means

DOI10.37190/ord240106MaRDI QIDQ6566817

María de Lourdes Palacios, Pablo M. Flores

Publication date: 3 July 2024

Published in: Operations Research and Decisions (Search for Journal in Brave)

zbMATH Keywords

equivalencenormalityassumptionsgoodness of fitlack of fitType I error probability

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• A method for simulating non-normal distributions
• The two-sample \(t\) test: pre-testing its assumptions does not pay off
• On the criterion, that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling.
• Contribution to the theory of ``Student's \(t\)-test as applied to the problem of two samples.
• Testing Statistical Hypotheses of Equivalence and Noninferiority
• Science and Statistics
• THE PROBABLE ERROR OF A MEAN
• Pretesting strategies for homoscedasticity when comparing means. Their robustness facing non-normality
• An analysis of variance test for normality (complete samples)
• Practical Solutions of the Behrens-Fisher Problem
• The Limiting Distributions of Certain Statistics
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH

This page was built for publication: Goodness and lack of fit tests to pretest normality when comparing means