Simulation Studies of a Hölder Perturbation in a New Estimator for Proportion Considering Extra-Binomial Variability
This present work aims to propose an estimator in order to estimate the probability of success of a binomial model that incorporates the extrabinomial variation generated by zero-inflated samples. The construction of this estimator was carried out with a theoretical basis given by the Holder functio...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Colombia |
| Recursos: | Universidad Nacional de Colombia |
| Repositorio: | Repositorio UN |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unal.edu.co:unal/66543 |
| Acesso em linha: | https://repositorio.unal.edu.co/handle/unal/66543 http://bdigital.unal.edu.co/67571/ |
| Access Level: | acceso abierto |
| Palavra-chave: | 51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Binomial Distribution Monte Carlo simulation Robust Estimator Robustness Distribución binomial Estimador robusto Simulación Monte Carlo Robustez. |
| Resumo: | This present work aims to propose an estimator in order to estimate the probability of success of a binomial model that incorporates the extrabinomial variation generated by zero-inflated samples. The construction of this estimator was carried out with a theoretical basis given by the Holder function and its performance was evaluated through Monte Carlo simulation considering different sample sizes, parametric values (π), and excess of zero proportions (γ). It was concluded that for the situations in (γ = 0.20) and (γ = 0.50) that the proposed estimator presents promising results based on the specified margin of error. |
|---|