The work concerns problems where two independent samples (e.g. treated group and control group) are compared in order to test the significance of a treatment effect. When the response is multivariate, likelihood based methods are difficult to be implemented and in many cases, expecially with small sample sizes, are not possible.
Two-sample multivariate test with high dimensional response
Stefano Bonnini
2018
Abstract
The work concerns problems where two independent samples (e.g. treated group and control group) are compared in order to test the significance of a treatment effect. When the response is multivariate, likelihood based methods are difficult to be implemented and in many cases, expecially with small sample sizes, are not possible.File in questo prodotto:
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