Francisco José A. Cysneiros

TL;DR: It is shown that synthetic polymers are present in subsurface plankton samples around Saint Peter and Saint Paul Archipelago in the Equatorial Atlantic Ocean and a generalised linear model (GLM) is proposed that suggests the existence of an outward gradient of mean plastic-particle densities.

TL;DR: A new approach for Birnbaum–Saunders regression models is introduced, which allows to analyze data in their original scale and to model non-constant variance and four types of residuals for these models are proposed.

TL;DR: This paper introduces a new linear regression method based on the symmetrical linear regression methodology such that the prediction of the lower and upper bounds of the interval value of the dependent variable is not damaged by the presence of interval-valued data outliers.

TL;DR: New multivariate generalized Birnbaum-Saunders regression models are proposed and derived using the maximum likelihood method and the EM algorithm to estimate their parameters and are illustrated with real-world multivariate fatigue data.

TL;DR: In this article, a robust methodology using multivariate quality control charts for subgroups based on generalized Birnbaum-Saunders distributions and an adapted Hotelling statistic is proposed for Phases I and II of control charts.