Small sample robust approach to outliers and correlation of atmospheric pollution and health effects in Santiago de Chile

Keyphrases

• Pollution Effects 100%
• Santiago De Chile 100%
• Health Effects 100%
• Robust Approach 100%
• Atmospheric Pollution 100%
• Chile 50%
• Adverse Effects 50%
• Number of children 50%
• Respiratory Disease 50%
• Pollution 50%
• Linear Mixture 50%
• Spatiotemporal 50%
• Anomalous Data 50%
• Secondary 60E15 50%
• Subject Classification 50%
• Extreme Outliers 50%
• Pollution Sources 50%
• Hierarchical Bayesian Model 50%
• Global Problems 50%
• Pollution Model 50%
• Autoregressive Model 50%
• Air Pollution Effects 50%
• PM2.5 Data 50%
• Normality Test 50%
• Urban Population 50%
• Pre-emergency 50%
• Monitoring Planning 50%

Mathematics

• Probability Theory 100%
• Covariate 100%
• Bayesian 100%
• Autoregressive Model 100%
• Extreme Outlier 100%
• Smaller Sample 100%
• Normal Test 100%
• Residuals 100%

Earth and Planetary Sciences

• Chile 100%
• Air Pollution 100%
• Particular Matter 2.5 33%
• Accelerator Mass Spectrometry 33%
• Urban Population 33%
• Pollutant Source 33%