Forecasting the Particulate Matter in Seoul using a Univariate Time Series Approach

We analyzed the particulate matter (PM10) for 2001~2015 using simple and seasonal naive methods, time series regression methods, exponential smoothing methods, exponential smoothing state space methods, seasonal autoregressive integrated moving average methods and seasonal trend decomposition using ...