Confidence intervals for the difference between two means
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Publication:1023554
DOI10.1016/j.csda.2007.07.017zbMath1452.62100OpenAlexW1964043177MaRDI QIDQ1023554
Publication date: 12 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2007.07.017
coverage probabilitypreliminary testBehrens-Fisher problemexpected lengthShapiro-Wilk testWelch-Satterthwaite confidence interval
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- Robustness of MML estimators based on censored samples and robust test statistics
- Preliminary Goodness-of-Fit Tests for Normality do not Validate the One-Sample Student t
- The two-sample t test versus satterthwaite's approximate f test
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- Robustness of the t and U tests under combined assumption violations
- The two-sample trimmed t for unequal population variances
- An analysis of variance test for normality (complete samples)
- Practical Solutions of the Behrens-Fisher Problem
- The approximate behaviour and performance of the two-sample trimmed t
- Approximate Significance Levels of the Behrens-Fisher Test
- THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
- On Solutions of the Behrens-Fisher Problem, Based on the $t$-Distribution
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