In this section, we will estimate airline passengers using time series methods.
๐ We used the following methods for airline passenger forecasting:
SES: Single Exponential Smoothing
DES: Double Exponential Smoothing
TES: Triple Exponential Smoothing
ARIMA: Autoregressive Integrated Moving Average
SARIMA: Seasonal Autoregressive Integrated Moving Average
๐ In this section, we estimate the number of passengers in the coming years by examining the number of passengers in the past years.
๐ This dataset contains how many passengers traveled monthly from 1949 to 1960.
Month: the date in the month is a variable.
Passengers: estimates the number of passengers per month.