A0388
Title: Comparing mixing data
Authors: Maria Dolores Jimenez-Gamero - Universidad de Sevilla (Spain) [presenting]
Virtudes Alba-Fernandez - University of Jaen (Spain)
Francisca Jimenez-Jimenez - Universidad de Jaen (Spain)
Abstract: The problem of testing the equality of two populations based on independent samples from each of them (the two-sample problem) is a classic one in statistics. Most existing tests assume that all data are categorical or numerical. The mixed data case (some components of the vector to be compared are categorical, and some are numerical) has received less attention in the statistical literature. A new test for comparing mixed data is proposed and studied. The null distribution of the test statistic can be approximated by permutation or bootstrap. The new test is consistent against fixed alternatives. The performance of the test in finite samples is studied by simulation. The proposal is applied to a real data set.
