# Statistical Analysis of Precipitation Events

**Authors:** V.Yu. Korolev, A.K. Gorshenin, S.K. Gulev, K.P.Belyaev, A.A. Grusho

arXiv: 1705.11055 · 2018-06-28

## TL;DR

This paper presents a statistical analysis of precipitation events, introducing models based on mixed Poisson and exponential distributions, explained through entropy and Bayesian reasoning.

## Contribution

It proposes new statistical models for precipitation events using mixed distributions and provides a theoretical explanation grounded in entropy and Bayesian methods.

## Key findings

- Models effectively describe precipitation event characteristics
- Entropy-based reasoning supports the mixed distribution approach
- Bayesian interpretation enhances model understanding

## Abstract

In the present paper we demonstrate the results of a statistical analysis of some characteristics of precipitation events and propose a kind of a theoretical explanation of the proposed models in terms of mixed Poisson and mixed exponential distributions based on the information-theoretical entropy reasoning. The proposed models can be also treated as the result of following the popular Bayesian approach.

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/1705.11055/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/1705.11055/full.md

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Source: https://tomesphere.com/paper/1705.11055