A Proportional Odds Model of Particle Pollution

A 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.

• Publication year

  2014

• Venue

  Unknown venue

• Publication date

  2014-08-12

• Fields of study

  Geography, Environmental Science

• Identifiers
  DOI 10.3390/ENVIRONMENTS1010054
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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