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Métodos de bootstrap e aplicações em problemas biológicos
(Universidade Estadual Paulista (UNESP), 2014)
Métodos de bootstrap e aplicações em problemas biológicos
(Universidade Estadual Paulista (Unesp), 2013-10-25)
As técnicas de bootstrap são métodos computacionais intensivos que usam reamostragem para o cálculo de medidas de incerteza dos estimadores, tais como erros-padrão, viés e intervalos de confiança. Os métodos são aplicados ...
Métodos de bootstrap e aplicações em problemas biológicos
(Universidade Estadual Paulista (Unesp), 2013-10-25)
As técnicas de bootstrap são métodos computacionais intensivos que usam reamostragem para o cálculo de medidas de incerteza dos estimadores, tais como erros-padrão, viés e intervalos de confiança. Os métodos são aplicados ...
Método Bootstrap para hipótesis concernientes a la diferencia de medias para muestras pareadas: aplicaciones.
(Escuela Superior Politécnica de Chimborazo, 2018-10-24)
In this paper , we propose a flexible method to calculate a confidence interval with bootstrap replicas for the mean difference of two paired samples without the need of normality, in the field of hypothesis ...
Robust bootstrap: an alternative to bootstrapping robust estimators
(Instituto Nacional de Estatística, 2014-06)
There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts. On one hand, ...
Bootstrap em modelos auto-regressivos aditivos generalizados
(Universidade Federal de Minas GeraisUFMG, 2009-05-11)
The class of Generalized Additive Models (GAM), considered an extension of the Generalized Linear Models (GLM), is attracting the attention of researchers mainly due to the flexibility of these procedures. In spite of being ...
Bootstrap methods for generalized autoregressive moving average models
(Universidade Federal de Minas GeraisUFMG, 2018-06-11)
This final paper aims to find a suitable Bootstrap Method for the Generalized Autoregressive Moving Average Model. The focus is on the Moving Block Bootstrap (MBB) resampling scheme with its performance being evaluated ...
Behaviour of resampling methods under different weighting schemes, measures and variable resampling strengths
(Wiley Blackwell Publishing, Inc, 2010-02)
We compared general behaviour trends of resampling methods (bootstrap, bootstrap with Poisson distribution, jackknife, and jackknife with symmetric resampling) and different ways to summarize the results for resampling ...
Intervalos de previsão bootstrap para modelos estruturais
(Universidade Federal de Minas GeraisUFMG, 2011-05-13)
This work is dedicated to the implementation of the methodology to calculate nonparametric bootstrap prediction intervals in state space form (SS), based on the work of Rodriguez and Ruiz (2009). The SS are an alternative ...