Intervalos de confianza bootstrap
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[ES] Este trabajo se centra en el estudio de los diferentes intervalos de confianza para un
parámetro empleando el método bootstrap.
Hemos introducido los intervalos bootstrap percentil, que presentan buen comportamiento frente a transformaciones, y los intervalos bootstrap-t, que obtienen buenos resultados de cobertura, y los hemos comparado mediante un estudio de simulación. Luego
definimos los intervalos 𝐵𝐶ₐ que buscan reunir las ventajas de estos dos métodos, obteniendo propiedades relativamente buenas como analizamos en otro estudio de simulación.
Finalmente, hablamos de los intervalos 𝐴𝐵𝐶 que buscan reducir el cálculo computacional
de los intervalos 𝐵𝐶ₐ
[EN] The main objective of this paper is to focus on the study of the different confidence intervals for a parameter using the bootstrap method. We have introduced the percentile bootstrap intervals, which show good behavior against monotone transformations, and the bootstrap-t intervals, which obtain good coverage results, comparing them using computer simulation. Then we define the 𝘉𝘊ₐ intervals that seek to combine the advantages of these two methods, obtaining relatively good properties as we analyzed in another simulation study. Finally, we talk about the 𝘈𝘉𝘊 intervals that pretend to reduce the computational calculation of the 𝘉𝘊ₐ intervals.
[EN] The main objective of this paper is to focus on the study of the different confidence intervals for a parameter using the bootstrap method. We have introduced the percentile bootstrap intervals, which show good behavior against monotone transformations, and the bootstrap-t intervals, which obtain good coverage results, comparing them using computer simulation. Then we define the 𝘉𝘊ₐ intervals that seek to combine the advantages of these two methods, obtaining relatively good properties as we analyzed in another simulation study. Finally, we talk about the 𝘈𝘉𝘊 intervals that pretend to reduce the computational calculation of the 𝘉𝘊ₐ intervals.
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Traballo Fin de Grao en Matemáticas. Curso 2020-2021
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