Selim Havan
Datos Biográficos
| ID | 9253003 |
|---|---|
| NOMBRE | Selim Havan |
| NOMBRES | Selim |
| APELLIDO | Havan |
| FIRMA | HAVAN S |
| AFILIACIONES | University of Illinois at Urbana-Champaign, USA |
| VERIFICADO | No |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 0 |
Using Multiple Imputation to Account for the Uncertainty Due to Missing Data in the Context of Factor Retention
Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed data set and use the number of factors suggested by most of the data copies or average the correlation …
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Using Multiple Imputation to Account for the Uncertainty Due to Missing Data in the Context of Factor Retention
Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed data set and use the number of factors suggested by most of the data copies or average the correlation …
Advanced Statistical Modeling Techniques (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Computer Science (1 obras) · Context (archaeology) (1 obras) · Data mining (1 obras) · Data set (1 obras) · Econometrics (1 obras) · Imputation (statistics) (1 obras) · Mathematics (1 obras)