The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests are robust with respect to Type I error for departures from population normality, and both are powerful alternatives to the independent samples Student’s t-test for detecting shift in location. The question remains regarding their comparative statistical power for small samples, particularly for non-normal distributions. Monte Carlo simulations indicated the rank-based Wilcoxon test was found to be more powerful than both the t and the permutation t-tests
In this paper we compare nonparametric estimators of the power curve of the one-sample permutation t...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
We develop computational tools that can evaluate the exact size and power of three tests of trend (e...
The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests a...
The Chi-square distribution is used quite often in Monte Carlo studies to examine statistical power ...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
There exist many misconceptions in choosing the t over the Wilcoxon Rank-Sum test when testing for s...
The area investigated in the present study is the comparison of the permutation t-test with Student&...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
The t test is classic for testing a paired comparison when the distribution of difference scores fro...
Many statistical tests require that your data follow a normal distribution. Sometimes this is not th...
Likert questionnaires are widely used in survey research, but it is unclear whether the item data sh...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
Often, when testing for shift in location, researchers will utilize nonparametric statistical tests ...
ii It is common that two populations are to be compared, and one objective is to test the null hypot...
In this paper we compare nonparametric estimators of the power curve of the one-sample permutation t...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
We develop computational tools that can evaluate the exact size and power of three tests of trend (e...
The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests a...
The Chi-square distribution is used quite often in Monte Carlo studies to examine statistical power ...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
There exist many misconceptions in choosing the t over the Wilcoxon Rank-Sum test when testing for s...
The area investigated in the present study is the comparison of the permutation t-test with Student&...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
The t test is classic for testing a paired comparison when the distribution of difference scores fro...
Many statistical tests require that your data follow a normal distribution. Sometimes this is not th...
Likert questionnaires are widely used in survey research, but it is unclear whether the item data sh...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
Often, when testing for shift in location, researchers will utilize nonparametric statistical tests ...
ii It is common that two populations are to be compared, and one objective is to test the null hypot...
In this paper we compare nonparametric estimators of the power curve of the one-sample permutation t...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
We develop computational tools that can evaluate the exact size and power of three tests of trend (e...