Una revisión de la metodología de estimación a través de muestreo por cadenas referenciales para las proporciones de una población oculta
This article reviews some of the most important results about a new method of sampling and estimation for populations where there is no sampling frame, this is known as Respondent-Driven Sampling (RDS). A theoretical analysis based on Markov chains shows that this method reduces the bias generally a...
- Autores:
-
Moreno, Edna Carolina
- Tipo de recurso:
- Fecha de publicación:
- 2010
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/39539
- Acceso en línea:
- https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/29
http://hdl.handle.net/11634/39539
- Palabra clave:
- Estimador asintóticamente insesgado
población oculta
RDS
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | This article reviews some of the most important results about a new method of sampling and estimation for populations where there is no sampling frame, this is known as Respondent-Driven Sampling (RDS). A theoretical analysis based on Markov chains shows that this method reduces the bias generally associated with chain-reference samples; in addition the method produces asymptotically unbiased estimators. We demonstrated the potential of the method through an empirical simulation. |
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