racine.zip
Creators:
Jeffrey S. Racine
From the dataset abstract
Cross-validation is a method used to estimate the expected prediction error of a model. Such estimates may be of interest in themselves, but their use for model selection is more common....
Source: FEASIBLE CROSS-VALIDATORY MODEL SELECTION FOR GENERAL STATIONARY PROCESSES (replication data)
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Metadata
| Field | Value |
|---|---|
| Format | application/zip |
| License | CC-BY 4.0 |
| URL | https://jda-test.zbw.eu/dataset/6108f6fb-88fe-4aa7-a881-974f568b8573/resource/f470da42-066d-4b2d-ac30-d43e49e1f983/download/racine.zip |
| Last updated | November 4, 2022 |
| Created | November 4, 2022 |
