A Proportional Odds Model of Particle Pollution
AbstractA linear regression model of particle pollution and an ordered logistic regression model of the relevant index were selected for observations in the US city of Los Angeles, California. Models were used to forecast Air Quality Index (AQI) from a sample, and were compared and contrasted. Methods are comparable overall but markedly different in their powers to predict certain categories. Linear regression models of AQI through particle pollution are more favored to predict moderate air quality; ordered logistic regression models of AQI directly are more favored to predict good air quality. View Full-Text
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Chimka, J.R.; Ozdemir, E. A Proportional Odds Model of Particle Pollution. Environments 2014, 1, 54-59.
Chimka JR, Ozdemir E. A Proportional Odds Model of Particle Pollution. Environments. 2014; 1(1):54-59.Chicago/Turabian Style
Chimka, Justin R.; Ozdemir, Ege. 2014. "A Proportional Odds Model of Particle Pollution." Environments 1, no. 1: 54-59.