readme.jr.txt
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)
Metadata
| Field | Value |
|---|---|
| Format | text/plain |
| License | CC-BY 4.0 |
| URL | https://journaldata.zbw.eu/dataset/ddfe2687-c62e-4dfb-9a41-53c646840bf8/resource/d65b55a4-2d8b-490b-a5b7-cc628d1b8514/download/readme.jr.txt |
| Last updated | November 9, 2022 |
| Created | November 9, 2022 |
