The Kruskal-Wallis test is a non-parametric test for the equality of K population medians. The test statistic involved is a measure of the overall closeness of the K average ranks in the individual samples to the average rank in the combined sample. The resulting acceptance region of the test however may not be the smallest region with the required acceptance probability under the null hypothesis. Presently an alternative acceptance region is constructed such that it has the smallest size, apart from having the required acceptance probability. Compared to the Kruskal-Wallis test, the alternative test is found to have larger average power computed from the powers along the evenly chosen directions of deviation of the medians
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dom...
The two sample t-test is the test usually taught in introductory statistics courses to test for the ...
In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal...
The Kruskal-Wallis test is a non-parametric test for the equality of K population medians. The test ...
The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal scores test ...
In clinical trials, sample size is usually lesser as compared to other epidemiological studies to ma...
homogeneity For the comparison of more than two independent samples the Kruskal-Wallis H test is a p...
Statistical association between a single nucleotide polymorphism (SNP) genotype and a quantitative t...
A Fortran 77 subroutine is provided for computing exact critical values for the Kruskal- Wallis test...
We demonstrate how many classical rank tests, such as the Wilcoxon-Mann-Whitney, Kruskal-Wallis and ...
One of the simplest designs in quantitative research involves the random allocation of a sample of N...
The thesis is presented in two parts, (a) "Nonparametric Analysis of Variance", and (b) "An Asymp...
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dom...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
A computationally inexpensive equality test for multivariate distributions is useful inmany applicat...
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dom...
The two sample t-test is the test usually taught in introductory statistics courses to test for the ...
In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal...
The Kruskal-Wallis test is a non-parametric test for the equality of K population medians. The test ...
The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal scores test ...
In clinical trials, sample size is usually lesser as compared to other epidemiological studies to ma...
homogeneity For the comparison of more than two independent samples the Kruskal-Wallis H test is a p...
Statistical association between a single nucleotide polymorphism (SNP) genotype and a quantitative t...
A Fortran 77 subroutine is provided for computing exact critical values for the Kruskal- Wallis test...
We demonstrate how many classical rank tests, such as the Wilcoxon-Mann-Whitney, Kruskal-Wallis and ...
One of the simplest designs in quantitative research involves the random allocation of a sample of N...
The thesis is presented in two parts, (a) "Nonparametric Analysis of Variance", and (b) "An Asymp...
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dom...
We propose a new nonparametric test for ordered alternative problem based on the rank difference bet...
A computationally inexpensive equality test for multivariate distributions is useful inmany applicat...
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dom...
The two sample t-test is the test usually taught in introductory statistics courses to test for the ...
In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal...