Nonlinear air quality modeling using multivariate adaptive regression splines in Gijón urban area (Northern Spain) at local scale

Applied Mathematics and Computation

Volumn 235, Issue , 2014, Pages 50-65

  Garcia Nieto P J ^a   Alvarez Anton J C ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Air quality modeling; Multivariate adaptive regression splines (MARS); Pollutant substances; Statistical learning

Indexed keywords

AIR QUALITY; CARBON MONOXIDE; HEALTH; MATHEMATICAL MODELS; NITROGEN OXIDES; POLLUTION; RESEARCH; SULFUR DIOXIDE;

AIR QUALITY MODELING; HAZARDOUS AIR POLLUTANTS; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; NATIONAL AMBIENT AIR QUALITY STANDARDS; NONPARAMETRIC REGRESSION ALGORITHMS; POLLUTANT SUBSTANCES; STATISTICAL LEARNING; STATISTICAL LEARNING THEORY;

REGRESSION ANALYSIS;

EID: 84896924165     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2014.02.096     Document Type: Article

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