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Mostrando ítems 1-10 de 17
Artículo
Edición de encuestas mediante redes de neuronas artificiales
(Universidad de Salamanca, 2001)
Se presenta un procedimiento de imputación de valores perdidos y un método para la detección y corrección de inconsistencias en las respuestas recogidas como resultado de una encuesta estadística. Para ello se describe el ...
Artículo
Impact of soft-hydrothermal pre-treatments on the olive mill solid waste characteristics and its subsequent amaerobic digestion
(Springer, 2020-06-04)
The aim of this study was to investigate the effect of a soft-hydrothermal pre-treatment (SHP) on olive mill solid waste (OMSW) and its subsequent anaerobic digestion (AD). OMSW was pre-treated in an autoclave at temperatures ...
Artículo
A new approach to influence analysis in linear models
(JSTOR, 1995-10-15)
propose a new approach to the study of influence in the General Linear Model based on conditional bias. This approach enables us to apply such an analysis to all particular cases of this model. The theoretical foundation, ...
Artículo
Modelización estadística de la suerte de varas
(Fundación de Estudios Taurinos, 2010)
Tesis Doctoral
Artículo
Modelling soil organic carbon stocks in global change scenarios: a CarboSOIL application
(Copernicus, 2013)
Global climate change, as a consequence of the increasing levels of atmospheric CO2 concentration, may significantly affect both soil organic C storage and soil capacity for C sequestration. CarboSOIL is an empirical model ...
Artículo
A Monte Carlo comparison of three consistent bootstrap procedures
(Taylor & Francis, 2009-04)
Since bootstrap samples are simple random samples with replacement from the original sample, the information content of some bootstrap samples can be very low. To avoid this fact, some authors have proposed several variants ...
Artículo
Modelling background air pollution exposure in urban environments: Implications for epidemiological research
(Elsevier, 2018)
Background pollution represents the lowest levels of ambient air pollution to which the population is chronically exposed, but few studies have focused on thoroughly characterizing this regime. This study uses clustering ...
Artículo
Time series clustering for estimating particulate matter contributions and its use in quantifying impacts from deserts
(Elsevier, 2015)
Source apportionment studies use prior exploratory methods that are not purpose-oriented and receptor modelling is based on chemical speciation, requiring costly, time-consuming analyses. Hidden Markov Models (HMMs) are ...
Tesis Doctoral