
arXiv: 2403.00383
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.
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
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
| 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). | 4 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
