The purpose of the present work consists in the study of a non-parametric procedure for a two sample test for heterogeneity comparisons in presence of categorical variables. In particular a comparison between the approximated permutation solution proposed by Arboretti et al. (2009) with a new proposal based on a bootstrap resampling method is performed. Some results of the simulation study for analyzing the performances of the compared methods are shown. An application related to a customer satisfaction survey is also illustrated
For testing the homogeneity of variances, modifications of well-known tests are known which combine ...
Comparison of populations is one of the most important problems in statistics. The most common compa...
<p>Two-sample comparison is a fundamental problem in statistics. Given two samples of data, the inte...
The purpose of the present work consists in the study of a non-parametric procedure for a two sample...
In this article the problem of comparing distributional heterogeneities for categorical variables is...
This work consists of an inferential procedure that allows for a solution to the problem of hypothes...
When dealing with categorical data, generally the notion of heterogeneity may be used instead of tha...
When dealing with categorical data, generally the notion of heterogeneity may be used instead of tha...
In many sciences researchers often meet the problem of establishing if the distribution of a categor...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
A nonparametric test for heterogeneity comparisons is proposed. the main properties of the test and ...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
[[abstract]]This paper deals with testing the equality of several homoscedastic normal population me...
In social, educational and health sciences, obtained data are generally non-normal and heterogeneous...
In the present work some permutation tests for the problem of comparing two samples in the case of o...
For testing the homogeneity of variances, modifications of well-known tests are known which combine ...
Comparison of populations is one of the most important problems in statistics. The most common compa...
<p>Two-sample comparison is a fundamental problem in statistics. Given two samples of data, the inte...
The purpose of the present work consists in the study of a non-parametric procedure for a two sample...
In this article the problem of comparing distributional heterogeneities for categorical variables is...
This work consists of an inferential procedure that allows for a solution to the problem of hypothes...
When dealing with categorical data, generally the notion of heterogeneity may be used instead of tha...
When dealing with categorical data, generally the notion of heterogeneity may be used instead of tha...
In many sciences researchers often meet the problem of establishing if the distribution of a categor...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
A nonparametric test for heterogeneity comparisons is proposed. the main properties of the test and ...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
[[abstract]]This paper deals with testing the equality of several homoscedastic normal population me...
In social, educational and health sciences, obtained data are generally non-normal and heterogeneous...
In the present work some permutation tests for the problem of comparing two samples in the case of o...
For testing the homogeneity of variances, modifications of well-known tests are known which combine ...
Comparison of populations is one of the most important problems in statistics. The most common compa...
<p>Two-sample comparison is a fundamental problem in statistics. Given two samples of data, the inte...