Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopt...Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and intensity.There was intense conflict between the federal government and state governments over the relevance and extent of such measures.We build a simple regression model with good predictive power on state COVID-19 mortality rates in Brazil.Our results reveal that the federative units'urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate precision.Based on the fitted model,we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.展开更多
This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction mode...This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.展开更多
基金financial support from Conselho Nacional de Desenvolvimento Científico e Tecnologico(CNPq).
文摘Brazil was one of the countries most impacted by the COVID-19 pandemic,with a cumulative total of nearly 700,000 deaths by early 2023.The country's federative units were unevenly affected by the pandemic and adopted mitigation measures of different scopes and intensity.There was intense conflict between the federal government and state governments over the relevance and extent of such measures.We build a simple regression model with good predictive power on state COVID-19 mortality rates in Brazil.Our results reveal that the federative units'urbanization rate and per capita income are important for determining their mean mortality rate and that the number of physicians per 100,000 inhabitants is important for modeling the mortality rate precision.Based on the fitted model,we obtain approximations for the levels of administrative efficiency of local governments in dealing with the pandemic.
文摘This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.
