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Robust one-sample t-test

The robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.

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Robust One-Sample Location Test Using Trimmed Mean

Taxonomický záznam metódy · hypothesis-test / statistics

Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. · ISBN 978-0123869838
Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. · DOI 10.1093/biomet/61.1.165

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Taxonomic bucketOne-sample t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust independent samples t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust paired samples t-testmachine-suggested · Relational suggestion, not evidence.Same method familySign Testmachine-suggested · Relational suggestion, not evidence.