Reprint

Symmetrical and Asymmetrical Distributions in Statistics and Data Science

Edited by
October 2024
268 pages
  • ISBN978-3-7258-2150-1 (Hardback)
  • ISBN978-3-7258-2149-5 (PDF)

This is a Reprint of the Special Issue Symmetrical and Asymmetrical Distributions in Statistics and Data Science that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary

Probability distributions are a fundamental topic of statistics and data science that is highly relevant in both theory and practical applications. There are numerous probability distributions that come in many shapes and with different properties. In order to identify an appropriate distribution for modeling the statistical properties of a population of interest, one should consider the shape of the distribution as the crucial factor. In particular, the symmetry or asymmetry of the distribution plays a decisive role. This reprint is a collection of articles on a wide range of topics in the field of symmetrical and asymmetrical distributions that are relevant in statistics and data science. The proposed methods and concepts are discussed in detail and illustrated with several real-life data examples.

Related Books

August 2020

Symmetric and Asymmetric Distributions

Social Sciences, Arts & Humanities
...
March 2023

Symmetric Distributions, Moments and Applications

Computer Science & Mathematics
...
January 2021

Symmetry in Applied Mathematics

Computer Science & Mathematics
February 2023

Symmetry in Mathematical Analysis and Functional Analysis

Computer Science & Mathematics

The recommendations have been generated using an AI system.