Results 11 to 20 of about 30,603,790 (296)
, 2021 In this paper (Rubin, 2021), I consider two types of Type I error probability. The Neyman-Pearson Type I error rate refers to the maximum frequency of incorrectly rejecting a null hypothesis if a test was to be repeatedly reconducted on a series of different random samples that are all drawn from the exact same null population.
Mark Rubin
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, 2022 Type-I error rates of tests for different values of K and n.
Kwun Chuen Gary Chan (3641947) +3 more
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Type I error in multiple comparison tests in analysis of variance
Acta Scientiarum. Agronomy, 2022 In a hypothesis test, a researcher initially fixes a type I error rate, that is, the probability of rejecting the null hypothesis given that it is true.
Josiane Rodrigues +3 more
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What is the proper way to apply the multiple comparison test? [PDF]
Korean Journal of Anesthesiology, 2018 Multiple comparisons tests (MCTs) are performed several times on the mean of experimental conditions. When the null hypothesis is rejected in a validation, MCTs are performed when certain experimental conditions have a statistically significant mean ...
Sangseok Lee, Dong Kyu Lee
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Journal of Agricultural Sciences, 2003 Bu çal ışmada, çeşitli varyanslara sahip Beta 4,14 ve Ki-Kare 5 da ğı l ı m ı gösteren populasyonlardan al ı nan 3 veya 4 gruplu örneklerden yararlan ı larak F, Marascuilo, Welch, Brown-Forsythe ve Alexander-Govern test istatistiklerinin 100 000 ...
Mehmet Mendeş, Ensar Başpınar
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Which Robust Regression Technique Is Appropriate Under Violated Assumptions? A Simulation Study
Methodology, 2023 Ordinary least squares (OLS) regression is widely employed for statistical prediction and theoretical explanation in psychology studies. However, OLS regression has a critical drawback: it becomes less accurate in the presence of outliers and non-random ...
Jaejin Kim, Johnson Ching-Hong Li
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Scientific African, 2022 In numerous investigations, whether practical or theoretical, a requirement for the Analysis of Variance (ANOVA), is that the variances of the measured groups are equal.
B. Odoi +3 more
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Experiment-Wise Type I Error Control: A Focus on 2 × 2 Designs
Advances in Methods and Practices in Psychological Science, 2021 Factorial designs are common in psychology research. But they are nearly always used without control of the experiment-wise Type I error rate (EWER), perhaps because of a lack of awareness about viable procedures for that purpose and perhaps also because
Andrew V. Frane
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, 2023 Type I error at nominal level α = 0.05, 0.01 and 0.001 for each scenario (see S8 Table) for our 4 ensemble methods and 59 state-of-the-art methods. Evolution of type I error: the difference between two experiments.
Miikka Vikkula (33969) +3 more
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, 2023 Summary table of nine type I error experiments evaluated at three alpha levels (i.e. 0.05, 0.01, 0.001) for our 4 ensemble methods and 59 state-of-the-art methods. 27 type I error results generated per test.
Miikka Vikkula (33969) +3 more
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