In this paper, we propose a testing procedure that allows to compare pa- rameter functions from two independent populations. We address this issue through a test based on the Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature. This approach is flexible, as it can be adapted to take into account different distributions and different parameter transformations. In ad- dition, this methodology enables us to tackle problems that are not yet covered in the literature.

A Bayesian Test for the comparison of two independent populations

Mara Manca
;
Silvia Columbu;Monica Musio
2022-01-01

Abstract

In this paper, we propose a testing procedure that allows to compare pa- rameter functions from two independent populations. We address this issue through a test based on the Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature. This approach is flexible, as it can be adapted to take into account different distributions and different parameter transformations. In ad- dition, this methodology enables us to tackle problems that are not yet covered in the literature.
2022
9788891932310
Bayesian test, Bayesian Discrepancy Measure, sharp hypothesis, vari- ance, coefficient of variation, skewness
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/349359
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