Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data
- Submitting institution
-
University of Exeter
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 1682
- Type
- D - Journal article
- DOI
-
10.1080/01621459.2016.1195744
- Title of journal
- Journal of the American Statistical Association
- Article number
- -
- First page
- 1199
- Volume
- 112
- Issue
- 519
- ISSN
- 0162-1459
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://figshare.com/articles/dataset/Generalized_additive_models_for_gigadata_modelling_the_UK_black_smoke_network_daily_data/3462992
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
