Surrogate data

Under this definition, it may be generated (i.e., synthetic data) or transformed from another source.

[4] It can also be used to model biodiversity, as it would be difficult to gather actual data on all species in a given area.

Data from similar series may be pooled to improve forecast accuracy.

[7] Another use of surrogate data is to test models for non-linearity.

The term surrogate data testing refers to algorithms used to analyze models in this way.