Remote sensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data involved, the redundancy, the ...

Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: ...

A new approach for testing batch "similarity" through comparison of drug dissolution profiles, based on principal component analysis with the establishment of a confidence region (PCA-CR), is presented. The dissolution ...

To understand how the tropopause annual evolution relates to the troposphere and lower stratosphere over southern South America, the study analyzes the joint behavior of single and double thermal tropopauses with the 500 ...

El presente estudio trata sobre diferentes criterios para la retención de componentes en el análisis de componentes principales (PCA) aplicado a escalas tipo Likert, que son comunes en los cuestionarios psicológicos. El ...

Spatial inequalities within Latin American countries have historically attracted the interest ofacademics, policy-makers, and international agencies. This article aims to provide amultidimensional diagnosis of provincial ...

The study of random graphs and networks had an explosive development in the last couple of decades. Meanwhile, techniques for the statistical analysis of sequences of networks were less developed. In this paper, we focus ...

The data presented here are related to the research article “Miocene Atlantic transgressive-regressive events in northeastern and offshore Patagonia: A palynological perspective” (Guler et al. 2021; https://doi.org/10.10 ...

The objective of this study was to investigate instrumental-sensory relationships of some texture scales using argentine foods as references. Textural characteristics of these foods were instrumentally investigated by the ...