In this paper non-parametric tests for homogeneity of several populations against locationtype alternatives are proposed. For this all possible subsamples of fixed size are drawn from each sample and their maxima and minima are computed One class of tests is obtained using these subsample minima whereas other class of tests involves use of sub sample maxima. Tests belonging to these two classes have been compared with many of the presently available tests in terms of their Pitman asymptotic relative efficiency . Some of the members of these proposed classes of tests prove to robust in terms of efficiency
The two-sample location-scale problem arises in many situations like climate dynamics, bioinformatic...
Nonparametric tests for the two-sample location problem are investigated. It is shown that the supre...
A fundamental problem encountered in statistics is that of testing the equality of scale parameters ...
In this paper a new class of non-parametric tests for testing homogeneity of several populations aga...
In this paper we investigate a simple method of modifying well known nonparametric tests for the sev...
A bi-aspect nonparametric test for testing hypotheses of location shifts of two populations was prop...
For the non-parametric two-sample location problem, adaptive tests based on a selector statistic are...
The two-sample location problem is one of the fundamental problems encountered in Statistics. In man...
Consider testing the null hypothesis that a given population has location parameter greater than or ...
Randles' one sample multivariate sign test based on interdirections is extended to two sample and mu...
Starting from the theory of the Nonparametric Combination of Dependent Permutation Tests (Pesarin, 1...
This paper deals with testing nonparametric hypotheses against ordered al- ternatives. The test sta...
A nonparametric test for heterogeneity comparisons is proposed. the main properties of the test and ...
The two-sample problem usually tests for a difference in location. However, there are many situation...
The two-sample location-scale problem arises in many situations like climate dynamics, bioinformatic...
Nonparametric tests for the two-sample location problem are investigated. It is shown that the supre...
A fundamental problem encountered in statistics is that of testing the equality of scale parameters ...
In this paper a new class of non-parametric tests for testing homogeneity of several populations aga...
In this paper we investigate a simple method of modifying well known nonparametric tests for the sev...
A bi-aspect nonparametric test for testing hypotheses of location shifts of two populations was prop...
For the non-parametric two-sample location problem, adaptive tests based on a selector statistic are...
The two-sample location problem is one of the fundamental problems encountered in Statistics. In man...
Consider testing the null hypothesis that a given population has location parameter greater than or ...
Randles' one sample multivariate sign test based on interdirections is extended to two sample and mu...
Starting from the theory of the Nonparametric Combination of Dependent Permutation Tests (Pesarin, 1...
This paper deals with testing nonparametric hypotheses against ordered al- ternatives. The test sta...
A nonparametric test for heterogeneity comparisons is proposed. the main properties of the test and ...
The two-sample problem usually tests for a difference in location. However, there are many situation...
The two-sample location-scale problem arises in many situations like climate dynamics, bioinformatic...
Nonparametric tests for the two-sample location problem are investigated. It is shown that the supre...
A fundamental problem encountered in statistics is that of testing the equality of scale parameters ...