Predicting PM2.5 and PM10 Levels during Critical Episodes Management in Santiago, Chile, with a Bivariate Birnbaum-Saunders Log-Linear Model

Predicting PM2.5 and PM10 Levels during Critical Episodes Management in Santiago, Chile, with a Bivariate Birnbaum-Saunders Log-Linear Model

Improving air quality is an important environmental challenge of our time. Chile currently has one of the most stable and emerging economies in Latin America, where human impact on natural resources and air quality does not go unperceived. Santiago, the capital of Chile, is one of the cities in whic...

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Bibliographic Details
Main Authors: Rodrigo Puentes, Carolina Marchant, Víctor Leiva, Jorge I. Figueroa-Zúñiga, Fabrizio Ruggeri
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
air pollution
Birnbaum-Saunders distributions
bivariate regression models
data science
diagnostics techniques
R software
Online Access:https://www.mdpi.com/2227-7390/9/6/645

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https://www.mdpi.com/2227-7390/9/6/645

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