Estrategia de muestreo usando estimadores de regresión generalizada para la estimación de tasas de favoritismo en elecciones presidenciales en Colombia
Six favoritism rate estimators for presidential elections, which use GREG estimators in the first stage of sampling, are proposed. Its performance is evaluated with Monte Carlo Simulation and by the variation coefficient, calculated for the 2006 Presidential elections case, using the results from 2002...
- Autores:
-
Torres Celis, Linda Johana
- Tipo de recurso:
- Fecha de publicación:
- 2009
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/39554
- Acceso en línea:
- https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/44
http://hdl.handle.net/11634/39554
- Palabra clave:
- GREG-estimadores
linearización de Taylor
simulación Monte Carlo
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | Six favoritism rate estimators for presidential elections, which use GREG estimators in the first stage of sampling, are proposed. Its performance is evaluated with Monte Carlo Simulation and by the variation coefficient, calculated for the 2006 Presidential elections case, using the results from 2002 as auxiliary information. It is found that the estimators proposed don’t have attributes which makes them better than the totals pi-estimators quotient. |
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