Change Point Detection for Airborne Particulate Matter (<i>PM</i><sub>2.5</sub>, <i>PM</i><sub>10</sub>) by Using the Bayesian Approach

Airborne particulate matter (PM) is a key air pollutant that affects human health adversely. Exposure to high concentrations of such particles may cause premature death, heart disease, respiratory problems, or reduced lung function. Previous work on particulate matter (<inline-formula> <mat...

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Hlavní autoři: Muhammad Rizwan Khan, Biswajit Sarkar
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2019-05-01
Edice:Mathematics
Témata:
airborne particulate matter
Bayesian approach
change point detection
likelihood ratio test
time series analysis
air quality
On-line přístup:https://www.mdpi.com/2227-7390/7/5/474
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