Functional Location-Scale Model to Forecast Bivariate Pollution Episodes
Predicting anomalous emission of pollutants into the atmosphere well in advance is crucial for industries emitting such elements, since it allows them to take corrective measures aimed to avoid such emissions and their consequences. In this work, we propose a functional location-scale model to predi...
Main Authors: | Manuel Oviedo-de La Fuente, Celestino Ordóñez, Javier Roca-Pardiñas |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/6/941 |
Similar Items
-
Inflation, growth and real and nominal uncertainty: some bivariate Garch-in-Mean evidence for Brazil
by: Sergio Rodrigo Vale
Published: (2005-03-01) -
Statistical Forecast of Pollution Episodes in Macao during National Holiday and COVID-19
by: Man Tat Lei, et al.
Published: (2020-07-01) -
A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis
by: Dohyeong Kim, et al.
Published: (2018-08-01) -
Bivariate Hahn moments for image reconstruction
by: Wu Haiyong, et al.
Published: (2014-06-01) -
Tests of Bivariate Stochastic Order
by: Liu, Yunfeng
Published: (2011)