Statistics in R programming
Budget: $30 – $250 USD
Batch forecasting should be done on a time series data given.
The aim is to produce and evaluate forecasts using:
- Automatic Exponential Smoothing model selection.
- Automatic ARIMA model selection.
- A Model Selection strategy. Propose a suitable strategy in order to select for each series individually the most suitable sets of forecasts from the two options (Exponential Smoothing and ARIMA). Apply the proposed model selection strategy to the data in order to generate forecasts for the out-of-sample periods.
The aim is to produce and evaluate forecasts using:
- Automatic Exponential Smoothing model selection.
- Automatic ARIMA model selection.
- A Model Selection strategy. Propose a suitable strategy in order to select for each series individually the most suitable sets of forecasts from the two options (Exponential Smoothing and ARIMA). Apply the proposed model selection strategy to the data in order to generate forecasts for the out-of-sample periods.
Related categories:
Statistics
R Programming Language
Statistical Analysis
SPSS Statistics
Data Science