Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution
- Submitting institution
-
University of Exeter
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 1669
- Type
- D - Journal article
- DOI
-
10.1111/rssc.12227
- Title of journal
- Journal of the Royal Statistical Society. Series C: Applied Statistics
- Article number
- -
- First page
- 231
- Volume
- 67
- Issue
- 1
- ISSN
- 0035-9254
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- 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
-
16
- 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
- -
