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Automatic detection of defective crankshafts by image analysis and supervised classification
(2019)
[Abstract]: A crankshaft is a mechanical component of an engine that performs a conversion of an alternative movement of a piston in a rotational motion of a shaft. It is a critical part and one of the most expensive of ...
Nonparametric estimation of circular trend surfaces with application to wave directions
(2021)
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ...
A computational validation for nonparametric assessment of spatial trends
(2021)
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...
Kernel distribution estimation for grouped data
(Institut d'Estadística de Catalunya, 2019)
[Abstract]: Interval-grouped data appear when the observations are not obtained in continuous time, but
monitored in periodical time instants. In this framework, a nonparametric kernel distribution esti-
mator is proposed ...
Exercise training and DNA methylation profile in post-bariatric women: Results from an exploratory study
(Frontiers Media S.A., 2023-02-08)
[Abstract]: Exercise training and bariatric surgery have been shown to independently modulate DNA methylation profile in clusters of genes related to metabolic and inflammatory pathways. This study aimed to investigate the ...
TTS package: Computational tools for the application of the Time Temperature Superposition principle
(Elsevier, 2023)
[Abstract]: The TTS package has been developed in R software to predict the mechanical properties of viscoelastic materials, at short and long observation times/frequencies by applying the Time Temperature Superposition ...
Estimation of patient flow in hospitals using up-to-date data. Application to bed demand prediction during pandemic waves
(PLOS, 2023-02-27)
[Abstract] Hospital bed demand forecast is a first-order concern for public health action to avoid healthcare systems to be overwhelmed. Predictions are usually performed by estimating patients flow, that is, lengths of ...
Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021)
(Frontiers Media S.A., 2023)
[Abstract]: Background: We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15 September 2020 to 9 May 2021. Methods: A stringency ...
Small area estimation of proportions under area-level compositional mixed models
(Springer Nature, 2020-09)
[Abstract]: This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable ...
survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis
(American Statistical Association, 2013-08)
[Abstract] The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions ...