Symmetric Studies of Distributions in Statistical Models
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 60
Special Issue Editors
Interests: power quality; renewable hosting capacity; smart grid; photovoltaic systems; photovoltaic inverters; energy
Interests: electric vehicle charging process safety state monitoring and interaction with the power grid process state analysis
Interests: safe and economical operation of modern power system; market-oriented operation mechanism of energy and electricity; renewable energy generation and integrated energy system
Special Issue Information
Dear Colleagues,
Symmetric distributions are commonly employed in parametric statistical modeling for various applications, such as reliability and robustness analysis, due to their strong convergence to population distribution. However, many experimental datasets, particularly in financial contexts and reliability studies, require models with heavier or lighter tails than standard parametric families or a model featuring a tail cutoff. In these instances, asymmetric distributions including Laplace, exponential power, and Weibull distributions have gained increased attention. Therefore, we welcome submissions that emphasize the novel applications of symmetric and asymmetric distributions to address data analysis challenges in complex engineering problems within real-world contexts.
Dr. Xiao Xu
Prof. Dr. Hui Gao
Prof. Dr. Jun Xie
Guest Editors
Manuscript Submission Information
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Keywords
- statistical modeling
- parametric model
- symmetric distribution
- asymmetric distribution
- data analysis
- real-world scenario
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