Reducing Data Nonnormality with Box-Cox Transformation

Non-Causal Step

This step applies the Box-Cox Transformation algorithm to make non-normally distributed data normal.

Input Parameters

1. Non-normally time-series data

Output Parameters

1. Time-series data that has approximately normal distribution

Workflow

Algorithm

Box-Cox Transformation

References

• I. Klevecka and J. Lelis, Pre-Processing of Input Data of Neural Networks: The Case of Forecasting Telecommunication Network Traffic, Telektronikk, vol. 3/4, pp. 168-178, 2008.