Inferencia Bootstrap bayesiana para una proporción en muestreo con probabilidades desiguales.
This paper describe Bayesian bootstrap method, it is to realize inferences for finite population proportion ρ based on unequal probability sampling. Through Simulation we found that based on an appropriate a priori distribution to ρ with the proposed methodology it is possible to get estimate less-...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=7396339 |
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| Summary: | This paper describe Bayesian bootstrap method, it is to realize inferences for finite population proportion ρ based on unequal probability sampling. Through
Simulation we found that based on an appropriate a priori distribution to ρ with the proposed methodology it is possible to get estimate less-biased like that obtain by the clasic π estimator. Also, we get less-variance and confidence intervals with highest confidence levels and it has fewer length when we compared it
with the classic π -estimator and BPSP estimator that was proposed by Chen et al. (2010). Lastly, an example is performed using the development methodology. |
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