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Revista Colombiana de Estadística
Print version ISSN 0120-1751
Rev.Colomb.Estad. vol.32 no.1 Bogotá Jan./June 2009
1Universidad Santo Tomás, Facultad de Estadística, Centro de Investigaciones y Estudios Estadísticos (CIEES), Bogotá, Colombia. Director. Email: hugogutierrez@usantotomas.edu.co
Most of the real applications in survey sampling involve not one, but several characteristics of study. In this paper, a unified framework of joint estimation of the parameters of interest is presented under various sampling designs. The applications of the results of this research entails a significant gain in computational efficiency.
Key words: Multipurpose survey, Multiparameter estimation.
La mayoría de las aplicaciones en encuestas por muestreo involucran múltiples variables de estudio. En este artículo se presenta un marco de referencia para la estimación conjunta de los parámetros de interés en algunos diseños de muestreo. La aplicación de los resultados encontrados garantizan una ganancia significativa en la eficiencia computacional.
Palabras clave: diseño de encuestas complejas, estimación de parámetros.
Texto completo disponible en PDF
References
1. Cassady, R. J. & Valiant, R. (1993), `Conditional Properties of Poststratified Estimators under Normal Theory´, Survey Methodology 19, 183-192. [ Links ]
2. Gupta, A. K. & Nagar, D. K. (2000), Matrix Variate Distributions, Chapmann and Hall, New York, United States. [ Links ]
3. Holmberg, A. (2002a), `A Multiparameter Perspective on the Choice of Sampling Design in Surveys´, Statistics in Transition 5, 969-994. [ Links ]
4. Holmberg, A. (2002b), On the Choice of Sampling Design under GREG Estimation in Multiparameter Surveys, 1, RD Department, Statistics Sweden, SE-701 89 Örebro, Sweden. [ Links ]
5. Lavallée, P. & Caron, P. (2001), `Estimation Using the Generalized Weigth Share Method: The use of Record Linkage´, Survey Methodology 27, 155-169. [ Links ]
6. R Development Core Team, (2008), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. *http://www.R-project.org [ Links ]
7. S\arndal, (), . [ Links ]
8. Tillé, Y. & Matei, A. (2008), Sampling: Survey Sampling. R package version 2.0. [ Links ]
Este artículo se puede citar en LaTeX utilizando la siguiente referencia bibliográfica de BibTeX:
@ARTICLE{RCEv32n1a05,
AUTHOR = {Gutiérrez, Hugo Andrés},
TITLE = {{Estimation Stage in Survey Sampling: A Multiparameter Approach}},
JOURNAL = {Revista Colombiana de Estadística},
YEAR = {2009},
volume = {32},
number = {1},
pages = {79-97}
}
