Provided in this article is an algorithm and code for computing exact critical values (or percentiles) for Friedman’s nonparametric rank test for k related treatment populations using Visual Basic (VB.NET). This program has the ability to calculate critical values for any number of treatment populations ( k ) and block sizes (b) at any significance level (α ) . We developed an exact critical value table for k = 2(1)5 and b = 2(1)15. This table will be useful to practitioners since it is not available in standard nonparametric statistics texts. The program can also be used to compute any other critical values
AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of s...
A number of nonparametric tests are compared empirically for a randomized block layout. We assess te...
Nonparametric procedures need less model assumptions than the analogous paramet-ric ones. Moreover t...
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...
Researchers engaged in computer-intensive studies may need exact critical values, especially for sam...
The Friedman test is used to nonparametrically test the null hypothesis of equality of the treatment...
The relative power of three possible experimental designs under the condition that data is to be ana...
The exhaustive enumeration of all the permutations of the observations in an experiment is the only ...
In this paper we consider the analysis of variance (ANOVA) F-tests, and rank statistic analogs, for ...
Uma das principais dificuldades encontradas pelos pesquisadores na utilização da Estatística Experim...
Nonparametric procedures are often more powerful than classical tests for real world data which are ...
The nite-sample null distribution of the Jarque-Bera Lagrange multiplier test for normality di¤ers...
The following files accompany this module: F-Distribution_.01.pdf F-Distribution_.01.xls F-Distrib...
IN factorial analyses of variance, researchers are faced with the problem of finding the correct for...
AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of s...
A number of nonparametric tests are compared empirically for a randomized block layout. We assess te...
Nonparametric procedures need less model assumptions than the analogous paramet-ric ones. Moreover t...
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...
Researchers engaged in computer-intensive studies may need exact critical values, especially for sam...
The Friedman test is used to nonparametrically test the null hypothesis of equality of the treatment...
The relative power of three possible experimental designs under the condition that data is to be ana...
The exhaustive enumeration of all the permutations of the observations in an experiment is the only ...
In this paper we consider the analysis of variance (ANOVA) F-tests, and rank statistic analogs, for ...
Uma das principais dificuldades encontradas pelos pesquisadores na utilização da Estatística Experim...
Nonparametric procedures are often more powerful than classical tests for real world data which are ...
The nite-sample null distribution of the Jarque-Bera Lagrange multiplier test for normality di¤ers...
The following files accompany this module: F-Distribution_.01.pdf F-Distribution_.01.xls F-Distrib...
IN factorial analyses of variance, researchers are faced with the problem of finding the correct for...
AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of s...
A number of nonparametric tests are compared empirically for a randomized block layout. We assess te...
Nonparametric procedures need less model assumptions than the analogous paramet-ric ones. Moreover t...