Uniform Random Sample and Symmetric Beta Distribution

TL;DR

This paper generalizes a subfamily of symmetric distributions based on uniform random samples, identifies a new instance within the Johnson and Kotz family, and highlights its overlooked significance.

Contribution

It introduces a generalized subfamily of symmetric distributions and uncovers a new, previously overlooked instance within the Johnson and Kotz family.

Findings

Identified a new symmetric distribution instance within Johnson and Kotz family.

Generalized a subfamily of symmetric distributions based on uniform samples.

Connected the new distribution to previously studied but overlooked cases.

Abstract

N.L. Johnson and S. Kotz introduced in 1990 an interesting family of symmetric distributions which is based on randomly weighted average from uniform random samples. The only example that could be addressed to their work is the so-called "uniformly randomly modified tin" distribution from which two random samples have been computed. In this paper, we generalize a subfamily of their symmetric distributions and identify a concrete instance of this generalized subfamily. That instance turns out to belong to the family of Johnson and Kotz, which had not seemingly received proper attention in the literature.