Extremiles: A New Perspective on Asymmetric Least Squares
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 1324184
- Type
- D - Journal article
- DOI
-
10.1080/01621459.2018.1498348
- Title of journal
- Journal of the American Statistical Association
- Article number
- -
- First page
- 1366
- Volume
- 114
- Issue
- 527
- ISSN
- 0162-1459
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://www.tandfonline.com/doi/suppl/10.1080/01621459.2018.1498348
- 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
-
2
- Research group(s)
-
B - Statistics and Probability
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
