Johnson's transformation two-sample trimmed t and its bootstrap method for heterogeneity and non-normality

DOI10.1080/02664760050173292zbMath1016.62043OpenAlexW2085466060MaRDI QIDQ4407099

Wei-Ming Luh, Jiin-Huarng Guo

Publication date: 26 June 2003

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760050173292

zbMATH Keywords

order statistics

Mathematics Subject Classification ID

Nonparametric statistical resampling methods (62G09) Monte Carlo methods (65C05)

Cites Work

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• A one-way random effects model for trimmed means
• Some properties of the tukey g and h family of distributions
• Is the t Test Really Conservative When the Parent Distribution is Long-Tailed?
• Comparison of some two sample means tests by simulation
• Modified t Tests and Confidence Intervals for Asymmetrical Populations
• The two-sample trimmed t for unequal population variances
• A Note on Testing Hypotheses about Trimmed Means
• Some Results on the Tukey‐Mclaughlin and Yuen Methods for Trimmed Means when Distributions are Skewed
• Normalized Johnson's transformation one-sample trimmed t for non-normality
• The approximate behaviour and performance of the two-sample trimmed t
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL

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