Yingmei Xi
Biographic Data
| ID | 4270600 |
|---|---|
| NAME | Yingmei Xi |
| GIVEN NAMES | Yingmei |
| FAMILY NAME | Xi |
| SIGNATURE | XI Y |
| AFFILIATIONS | University of Connecticut |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2008 |
| H-INDEX | 1 |
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Census and Population Estimation (1 work) · Computer Science (1 work) · Data mining (1 work) · Econometrics (1 work) · Grouped data (1 work) · Mathematics (1 work) · Mixture model (1 work)