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Symmetric and Asymmetric Distributions

By Emilio Gómez-Déniz

Product Image: Symmetric and Asymmetric Distributions

Symmetric and Asymmetric Distributions

By Emilio Gómez-Déniz

0 - Default Title
Description
In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.
Product details
Number of Pages:
146
Release Date:
2020-08-25
Publication Date:
2020-08-25
Publisher:
MDPI AG
Languages:
Original: English
ISBN10:
3039366467
ISBN13:
9783039366460
GPSR Manufacturer Reference:
[email protected]
Weight:
565 g
Height:
175 cm
Width:
250 cm
Thickness:
14 cm
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