Dear Colleagues,

I am pleased to announce a Special Issue on Multivariate Statistics and Applications. Being that nature is multivariate, it is not surprising that a phenomenon would usually depend on several factors, possibly correlated and whose representation must necessarily involve a useful methodology able to understand and process information in a meaningful fashion. The ambitious aim of this Special Issue is to present a wide range of the newest results on multivariate statistical models, distribution theory, and applications of multivariate statistical methods where applications range from finance and insurance mathematics to medical and industrial statistics and sampling algorithms. Multivariate statistical methods are also essential in communication research and in the developing process of models for online monitoring and control. Copula-based models able to deal with tail dependences of variables are particularly suited to representing special phenomena where natural variables such as wind, air pressure, temperature, and seasonal variations linked to the impact of climate change are involved. Similarly, manuscripts putting forward specific multivariate statistics methodologies which can be useful to practitioners are highly appreciated.

I look forward to receiving your submissions.

Dr. Silvia Romagnoli
Guest Editor

Manuscript Submission Information

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• Copula function
• Principal component analysis
• Clustering systems
• Artificial neural network
• Factor Analysis