Published
2011-09-01
ESTIMACIÓN JERÁRQUICA BASADA EN EL DISEÑO MUESTRAL PARA ENCUESTAS ESTRATIFICADAS MULTI-PROPÓSITO
HIERARCHICAL DESIGN-BASED ESTIMATION IN STRATIFIED MULTIPURPOSE SURVEYS
Keywords:
inferencia basada en el diseño, población finita, población jerárquica, muestreo estratificado (es)Design based inference, Finite population, Hierarchical population, Stratified sampling (en)
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Este artículo considera la estimación conjunta de totales poblacionales para distintas variables de interés en encuestas multi-propósito que utilizan diseños de muestreo estratificados. En particular, se proponen distintos métodos de estimación insesgada cuando el contexto del problema induce una población con una estructura jerárquica. Con base en simulaciones de Monte Carlo, se concluye que los métodos de estimación propuestos son mejores, en términos de eficiencia relativa, que otros métodos de estimación indirecta como el recientemente publicado método de ponderación generalizada.
This paper considers the joint estimation of population totals for different variables of interest in multi-purpose surveys using stratified sampling designs. When the finite population has a hierarchical structure, different methods of unbiased estimation are proposed. Based on Monte Carlo simulations, it is concluded that the proposed approach is better, in terms of relative efficiency, than other suitable methods such as the generalized weight share method.
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How to Cite
HIERARCHICAL DESIGN-BASED ESTIMATION IN STRATIFIED MULTIPURPOSE SURVEYS. (2011). Revista Colombiana De Estadística, 34(3), 403-420. https://revistas.unal.edu.co/index.php/estad/article/view/29927
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