Skewed distributions are transversal and ubiquitous to all scientific disciplines. They have captured the attention of many researchers, as a deep understanding of their underlying probabilistic mechanisms is crucial in many fields. The right choice of the probability distribution for a non-normal stochastic process and the proper interpretation of its parameters can be very challenging and of enormous importance in fields such as physics, chemistry, biology, and social sciences.
The guidelines for contributions to this Special Issue include (but are not limited to) the following topics, which are divided into two broad groups:
Methods and applications of skew distributions.
New applications and parameter interpretations of the main skewed distributions;
Parameter estimation and statistical developments;
Advances in modelling and simulations (i.e., Monte Carlo sampling) of processes in mathematics, physics, chemistry, biology, and social sciences;
Efficient numerical methods to handle skewed distributions;
Skewed distributions and the modelling of infectious diseases, including COVID-19.
Skewed distributions in describing natural processes.
The true meaning of skewed distributions in nature;
Skewed distributions in psychological and neurological sciences;
Non-normal distributions in biological and medical sciences;
Skewed distributions in describing social processes;
The origin and fundamental interpretations of skewed distributions in mathematics, physics, chemistry, biology, and social sciences.
If you are interested, please contact the Symmetry Editorial Office (Amelia.sun@mdpi.com), or the leading Guest Editor, Prof. Dr. Pedro José Fernández de Córdoba Castellá (pfernandez@mat.upv.es).
}, issn = {}, doi = {https://doi.org/2023-CAM-22185}, url = {https://global-sci.com/article/74710/skewed-probability-distributions-and-applications-across-disciplines} }