We propose a new method to visualize and detect shape outliers in samples of curves. In
functional data analysis, we observe curves defined over a given real interval and shape …

Coal resource utilization and environmental protection is a critical global issue. This study
aims to address the need for geochemical maps of harmful trace elements (HTEs) in …

Metropolitan development is a complex phenomenon depending on the joint action of
multiple socioeconomic and territorial factors, which are generally quantified through …

In the context of functional data analysis, we propose new sample tests for homogeneity.
Based on some well-known depth measures, we construct four different statistics in order to …

A two‐stage functional boxplot is introduced for the visualization and exploratory data
analysis of multivariate curves. Specifically, the original functional boxplot is combined with …

Abstract Resistive Random Access Memories (RRAMs) are being studied by the industry
and academia because it is widely accepted that they are promising candidates for the next …

Condition monitoring and fault classification in engineering systems is a critical challenge
within the scope of Prognostics and Health Management (PHM). The fault diagnosis of …

We propose a nonparametric inferential framework for quantifying dependence among two
families of multivariate functional data. We generalise the notion of Spearman correlation …

The proliferation of data generation has spurred advancements in functional data analysis.
With the ability to analyze multiple variables simultaneously, the demand for working with …

Functional data analysis has gained significant attention due to its wide applicability. This
research explores the extension of statistical analysis methods for functional data, with a …