The Wilcoxon-Mann-Witney test is extended to account for a second independent factor. The new test statistic’s probability mass function and normal approximation are derived. Critical-values for balanced, unbalanced and large sample designs are given. The immediate extension of this method to a wide range of non-parametric tests is explained
A new approach is described for improving statistical tests of independence between two categorical ...
The Wilcoxon-Mann-Whitney test, as well as modern improvements, are based in part on an estimate of ...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests a...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
Over a quarter-century ago, Alan Agresti (Biometrics, 1980) proposed using the generalized odds rati...
Experimental designs using two or more treatments frequently arise in many fields of study, from med...
In scientific research, many hypotheses relate to the comparison of two independent groups. Usually,...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
A fundamental way of characterizing how two independent compares compare is in terms of the probabil...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
Data consisting of ranks within blocks are considered for balanced incomplete block designs. An F te...
This manuscript presents some general comments about the Wilcoxon rank sum test. Even the most casu...
We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome var...
A design is given that includes the designs for the Stuart-Maxwell and Cochran tests. Two models, ca...
A new approach is described for improving statistical tests of independence between two categorical ...
The Wilcoxon-Mann-Whitney test, as well as modern improvements, are based in part on an estimate of ...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests a...
A previous study indicated that the Wilcoxon W test showed a power advantage over the student’s t-te...
Over a quarter-century ago, Alan Agresti (Biometrics, 1980) proposed using the generalized odds rati...
Experimental designs using two or more treatments frequently arise in many fields of study, from med...
In scientific research, many hypotheses relate to the comparison of two independent groups. Usually,...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
A fundamental way of characterizing how two independent compares compare is in terms of the probabil...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
Data consisting of ranks within blocks are considered for balanced incomplete block designs. An F te...
This manuscript presents some general comments about the Wilcoxon rank sum test. Even the most casu...
We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome var...
A design is given that includes the designs for the Stuart-Maxwell and Cochran tests. Two models, ca...
A new approach is described for improving statistical tests of independence between two categorical ...
The Wilcoxon-Mann-Whitney test, as well as modern improvements, are based in part on an estimate of ...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...