Luyao Peng
Biographic Data
| ID | 9253791 |
|---|---|
| NAME | Luyao Peng |
| GIVEN NAMES | Luyao |
| FAMILY NAME | Peng |
| SIGNATURE | PENG L |
| AFFILIATIONS | Beijing Language and Culture University, Beijing, China |
| ORCID | 0009-0005-1277-4251 |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of Wollack and Eckerly (2017) and Sinharay (2018) and suggests a new aggregate-level EDI by incorporatin…
No prominent works on this page.
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of Wollack and Eckerly (2017) and Sinharay (2018) and suggests a new aggregate-level EDI by incorporatin…
Advanced Statistical Methods and Models (1 work) · Aggregate (composite) (1 work) · Algorithm (1 work) · Computer Science (1 work) · Econometrics (1 work) · Erasure (1 work) · Imbalanced Data Classification Techniques (1 work) · Index (typography) (1 work) · Mathematics (1 work) · Statistics (1 work)