Researchers engaged in computer-intensive studies may need exact critical values, especially for sample sizes and alpha levels not normally found in published tables, as well as the ability to control ‘best-fit’ criteria. They may also benefit from the ability to directly generate these values rather than having to create lookup tables. Fortran 90 programs generate ‘best-conservative’ (bc) and ‘best-fit’ (bf) critical values with associated probabilities for the Kolmogorov-Smirnov test of general differences (bc), Rosenbaum’s test of location (bc), Tukey’s quick test (bc and bf)) and the Wilcoxon rank-sum test (bc)
The methodology developed in Somerville (Proceedings of the 25th Symposium on the Interface, Computi...
A Fortran 77 program is provided for an ordinal dominance analysis of independent two-group comparis...
The exhaustive enumeration of all the permutations of the observations in an experiment is the only ...
Provided in this article is an algorithm and code for computing exact critical values (or percentile...
The impact on Type I error robustness and power for nine different methods of resolving ties was ass...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal...
A Fortran 77 subroutine is provided for computing exact critical values for the Kruskal- Wallis test...
Nonparametric procedures are often more powerful than classical tests for real world data which are ...
Three nonparametric tests are proposed for the simple tree alternative to test for differences in lo...
This article presents and investigates performance of a series of robust multivariate nonparametric ...
A syntax program, not readily expedient in statistical software such as SPSS, is provided for an app...
Monte Carlo techniques were used to determine the effect of using common critical values as an appro...
Sample size determination methods are considered for hypothesis testing about location parameters of...
Often, when testing for shift in location, researchers will utilize nonparametric statistical tests ...
The methodology developed in Somerville (Proceedings of the 25th Symposium on the Interface, Computi...
A Fortran 77 program is provided for an ordinal dominance analysis of independent two-group comparis...
The exhaustive enumeration of all the permutations of the observations in an experiment is the only ...
Provided in this article is an algorithm and code for computing exact critical values (or percentile...
The impact on Type I error robustness and power for nine different methods of resolving ties was ass...
A distribution-free test is proposed whose power is similar to that of the Wilcoxon Rank-Sum or Terr...
In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal...
A Fortran 77 subroutine is provided for computing exact critical values for the Kruskal- Wallis test...
Nonparametric procedures are often more powerful than classical tests for real world data which are ...
Three nonparametric tests are proposed for the simple tree alternative to test for differences in lo...
This article presents and investigates performance of a series of robust multivariate nonparametric ...
A syntax program, not readily expedient in statistical software such as SPSS, is provided for an app...
Monte Carlo techniques were used to determine the effect of using common critical values as an appro...
Sample size determination methods are considered for hypothesis testing about location parameters of...
Often, when testing for shift in location, researchers will utilize nonparametric statistical tests ...
The methodology developed in Somerville (Proceedings of the 25th Symposium on the Interface, Computi...
A Fortran 77 program is provided for an ordinal dominance analysis of independent two-group comparis...
The exhaustive enumeration of all the permutations of the observations in an experiment is the only ...