[ABE-L] Special Issue - Advances in Multivariate Statistical Models: Approaches and Applications for Continuous Data

[CAMILA BORELLI ZELLER]

Dear Colleagues,

Nowadays, multi-dimensional data are increasingly common, raising the need
to fit data to multivariate models and justifying the use of multivariate
methods. Therefore, we invite original research articles and reviews that
address statistical models with multivariate continuous responses
(symmetric or asymmetric), with applications to real datasets.
Contributions involving their application to high-dimensional data will be
especially welcome. Potential contributions can cover a wide range of
topics, including parameter estimation and hypothesis testing, multivariate
data adjustment techniques, residuals, and diagnostic analysis. The goal in
this Special Issue is to bring together the most recent research and
practical applications in these areas.

In other words, this Special Issue aims to promote the development of new
approaches and fundamental research topics, with applications in various
scientific areas, seeking to improve the practices of researchers and
practitioners in statistics and related areas by offering more robust and
accurate solutions for the analysis of complex data.



hhttps://www.mdpi.com/si/mathematics/L6PZ379AH2



Dr. Filidor Edilfonso Vilca-Labra
Dr. Camila Zeller
*Guest Editors*

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