Forecasting Recovery Period of the Airfreight Transportation from Covid-19 Pandemic by using Time Series Modelling.
Tüzün Tolga InanPublished in: Logist. Res. (2022)
Keyphrases
- forecasting accuracy
- financial time series
- weather forecasting
- arma model
- hybrid model
- box jenkins
- chaotic time series
- short term
- exponential smoothing
- forecasting model
- non stationary
- mackey glass
- multivariate time series
- exchange rate
- public health
- dynamic time warping
- support vector regression
- stock market
- bp neural network
- transportation systems
- arima model
- recovery algorithm
- transportation problem
- neural network model
- medium term
- demand forecasting
- moving average
- symbolic representation
- transportation costs
- garch model
- autoregressive
- image recovery
- spare parts
- subsequence matching
- long term