A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct
- Submitting institution
-
University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 10503
- Type
- D - Journal article
- DOI
-
10.1080/01621459.2015.1084307
- Title of journal
- JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Article number
- -
- First page
- 14
- Volume
- 111
- Issue
- 513
- ISSN
- 0162-1459
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://ndownloader.figstatic.com/files/2352160
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- 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
- -