What is the Kruskal–Wallis test? The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it ...

This article studies a new procedure to test for the equality of k regression curves in a fully non-parametric context. The test is based on the comparison of empirical estimators of the ...

Parametric tests make assumptions that aspects of the data follow some sort of theoretical probability distribution. Non-parametric tests or distribution free methods do not, and are used when the ...

In statistical inference, or hypothesis testing, the traditional tests are called parametric tests because they depend on the specification of a probability distribution (such as the normal) except ...

1. The basic structure is described of a game theory model of the distribution of a wintering shorebird, the oystercatcher Haematopus ostralegus, foraging on 12 mussel Mytilus edulis beds whose ...

For each kind of test, under the null hypothesis the test statistic is asymptotically distributed as a random variable with r degrees of freedom, where r is the number of expressions on the TEST ...

In addition, the use of a finite-locus model allows population size to vary, stochastic parameters to be easily incorporated, and the transient population dynamics to be obtained.