Moments and Entropy of the Interpolating Family of Size Distributions
Corinne Sinner, Patrick Weber

TL;DR
This paper leverages the tractability of the Interpolating Family distribution to derive explicit formulas for its moments and entropy, unifying several known distributions under a common framework.
Contribution
It provides explicit expressions for moments and entropy of the IF distribution, encompassing many well-known size distributions as special cases.
Findings
Explicit formulas for moments of the IF distribution
Closed-form expression for the differential entropy
Unified framework for various size distributions
Abstract
Sinner et al. (2016) recently introduced a five-parameter family of size distributions, coined Interpolating Family or IF distribution for short. In this complementary note, we take advantage of the tractability of the IF distribution to compute the moments and the differential entropy. As a consequence, we deduce at a single stroke the corresponding expressions for many well-known size distributions arising as special cases of the IF distribution.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Probabilistic and Robust Engineering Design · Fractional Differential Equations Solutions
