Why Mean, Variance, Moments, Correlation, Skewness etc. – Invariance-Based Explanations

Authors

Olga Kosheleva, The University of Texas at El PasoFollow
Laxman Bokati, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

3-2020

Comments

Technical Report: UTEP-CS-20-14

To appear in Asian Journal of Economics and Banking, 2020, Vol. 3, No. 4.

Abstract

In principle, we can use many different characteristics of a probability distribution. However, in practice, a few of such characteristics are mostly used: mean, variance, moments, correlation, etc. Why these characteristics and not others? The fact that these characteristics have been successfully used indicates that there must be some reason for their selection. In this paper, we show that the selection of these characteristics can be explained by the fact that these characteristics are invariant with respect to natural transformations -- while other possible characteristics are not invariant.