Missing Data and Small-Area Estimation Modern Analytical Equipment for the Survey Statistician
This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains. The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition...
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| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London
2005.
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| Colección: | Statistics for Social Science and Public Policy.
Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32742241*spi |
Tabla de Contenidos:
- Missing data
- Prologue
- Describing incompleteness
- Single imputation and related methods
- Multiple imputation
- Case studies
- Small-area estimation
- Models for small areas
- Using auxiliary information
- Using small-area estimators
- Case studies
- Combining estimators
- Model selection.
