part from its use as a means to measure the variability of a series of observations, like the other variability indexes, the mean difference can also be used to measure the variability of different distribution models. Knowledge of the mean difference of distribution models contributes to the integration of their characterization provided by other variability indexes. Two of the present authors (Girone and Mazzitelli, 2007) have made an initial systematic study of the mean difference of some distributions, giving compact expressions of the mean difference for 15 continuous distribution models. The objective of this note is to obtain analogous results for another 10 continuous distribution models.

More on the mean difference of continuous distributive models

MASSARI, Antonella;GIRONE, Giovanni;MAZZITELLI, Dante
2015-01-01

Abstract

part from its use as a means to measure the variability of a series of observations, like the other variability indexes, the mean difference can also be used to measure the variability of different distribution models. Knowledge of the mean difference of distribution models contributes to the integration of their characterization provided by other variability indexes. Two of the present authors (Girone and Mazzitelli, 2007) have made an initial systematic study of the mean difference of some distributions, giving compact expressions of the mean difference for 15 continuous distribution models. The objective of this note is to obtain analogous results for another 10 continuous distribution models.
2015
978-886787-4521
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/149593
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