Inferência estatística via bootstrap no modelo de regressão gama unitária
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Data
2022-09-16
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Universidade Federal de Goiás
Resumo
In Economics, there are many situations involving data restricted to the range (0;1), that
is, data of rates and proportions, and there are models that are better suited to this situation,
such as the Unit Gamma regression model . However, when the sample size is small, or even
moderate, the Statistical Inference of these models is compromised. Estimators, in general,
tend to become more biased and test statistics lead to less accurate tests. Thus, it is necessary
to use tools that are able to correct the bias of estimators and test statistics, such as the
method of bootstrap. In this work, we propose Monte Carlo simulations, via bootstrap, which
solve the aforementioned problems. In addition, we study socioeconomic variables that impact
energy generation through photovoltaic systems, using the Unit Gamma regression model and
Statistical Inference via it bootstrap
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Citação
BARROSO , I. N. Inferência estatística via bootstrap no modelo de regressão gama unitária. 2022. 46 f. Dissertação (Mestrado em Economia) - Universidade Federal de Goiás, Goiânia, 2022.