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Wiley Interdisciplinary Reviews Computational Statistics
Article . 2025 . Peer-reviewed
License: CC BY
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Article . 2025
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https://dx.doi.org/10.48550/ar...
Article . 2024
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The Mollified (Discrete) Uniform Distribution and Its Applications

The mollified (discrete) uniform distribution and its applications
Authors: Christian H. Weiß;

The Mollified (Discrete) Uniform Distribution and Its Applications

Abstract

ABSTRACTThe mollified uniform distribution is rediscovered, which constitutes a “soft” version of the continuous uniform distribution. Important stochastic properties are presented and used to demonstrate potential fields of applications. For example, it constitutes a model covering platykurtic, mesokurtic, and leptokurtic shapes. Its cumulative distribution function may also serve as the soft‐clipping response function for defining generalized linear models with approximately linear dependence. Furthermore, it might be considered for teaching, as an appealing example for the convolution of random variables. Finally, a discrete type of mollified uniform distribution is briefly discussed as well.

Related Organizations
Keywords

Methodology (stat.ME), FOS: Computer and information sciences, kurtosis, convolution, Computational methods for problems pertaining to statistics, soft-clipping regression, discrete uniform distribution, mollified uniform distribution, Statistics - Methodology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
Green
hybrid