Outlier Impact and Accommodation Methods: Multiple Comparisons of Type I Error Rates

Outlier Impact and Accommodation Methods: Multiple Comparisons of Type I Error Rates

A Monte Carlo simulation study was conducted to examine outliers' influence on Type I error rates in ANOVA and Welch tests, and the effectiveness of two outlier accommodation methods: nonparametric rank based method and Winsorizing. Recommendations are given regarding outlier handling with different sample sizes and number of outliers.

Multiple comparisons: comparisonwise versus experimentwise Type I error rates and their relationship to power.

Some statisticians contend that the experimentwise Type I error rate is the most important attribute of multiple comparison procedures to be used for making all possible pairwise comparisons among treatment means after an analysis of variance. That contention is challenged here. The importance of Type I errors is discussed as well as the occurrence of Type I errors in biological experiments. Al...

Outlier Impact and Accommodation on Power

Multiple testing. Part I. Single-step procedures for control of general type I error rates.

The present article proposes general single-step multiple testing procedures for controlling Type I error rates defined as arbitrary parameters of the distribution of the number of Type I errors, such as the generalized family-wise error rate. A key feature of our approach is the test statistics null distribution (rather than data generating null distribution) used to derive cut-offs (i.e., rej...

the effects of error correction methods on pronunciation accuracy

هدف از انجام این تحقیق مشخص کردن موثرترین متد اصلاح خطا بر روی دقت آهنگ و تاکید تلفظ کلمه در زبان انگلیسی بود. این تحقیق با پیاده کردن چهار متد ارائه اصلاح خطا در چهار گروه، سه گروه آزمایشی و یک گروه تحت کنترل، انجام شد که گروه های فوق الذکر شامل دانشجویان سطح بالای متوسط کتاب اول passages بودند. گروه اول شامل 15، دوم 14، سوم 15 و آخرین 16 دانشجو بودند. دوره مربوطه به مدت 10 هفته ادامه یافت و د...