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Mostrando ítems 1-10 de 14
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
Reduced bootstrap for the median
(Academia Sinica (Institute of Statistical Science), 2004-10)
In this paper we study a modified bootstrap that consists of only considering those bootstrap samples satisfying k1 ≤ νn ≤ k2, for some 1 ≤ k1 ≤ k2 ≤ n, where νn is the number of distinct original observations in the ...
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
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
Multivariate explanatory model for sporadic carcinoma of the colon in Dukes’ stages I and IIa
(Ivyspring International Publisher, 2009)
We obtained before an explanatory model with six dependant variables: age of the patient, total cholesterol (TC), HDL cholesterol (HDL-C), VLDL cholesterol (VLDL-C), alkaline phosphatase (AP) and the CA 19.9 tumour marker. ...
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
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
Modelización del hábitat potencial de formaciones forestales en la provincia de Huelva
(Sociedad Española de la Ciencia del Suelo, 2005)
Three methods for modelling the potential distribution of forest formations in protected areas in southern Spain are discussed in this paper: logistic multiple regression, artificial neural net and decision tree. For every ...
Artículo
Modelización estadística de la suerte de varas
(Fundación de Estudios Taurinos, 2010)
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 ...