A combined bootstrap test for the two-sample location problem

DOI10.1080/00949655.2020.1808893OpenAlexW3081248380MaRDI QIDQ5033973

Marco Marozzi

Publication date: 24 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1808893

zbMATH Keywords

robustnessheteroscedasticitypowernon-normalitytype-one error rate

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Statistics (62-XX) Nonparametric statistical resampling methods (62G09)

Cites Work

• Detecting treatment effects with small samples: the power of some tests under the randomization model
• Descriptive statistics for nonparametric models. I: Introduction
• Do robust estimators work with real data?
• Robust nonorthogonal analyses revisited: An update based on trimmed means
• Effect of non-normality on test statistics for one-way independent groups designs
• The two-sample trimmed t for unequal population variances
• Comparing two independent groups: A test based on a one‐step M‐estimator and bootstrap‐t
• A Distribution Free Test for the Equality of Scales
• On the Weak Consistency of Permutation Tests
• Comparing Trimmed or Least Squares Means of Two Independent Skewed Populations
• The approximate behaviour and performance of the two-sample trimmed t
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