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<span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255); display: inline !important">Olá pessoal,</span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255)">
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<span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255); display: inline !important">dia 8 de maio (quarta-feira) daremos continuidade ao nosso ciclo de seminários, </span><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255); display: inline !important">abaixo
as informações do próximo seminário.</span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255)">
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<span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: small; background-color: rgb(255, 255, 255); display: inline !important">Att,</span><br>
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<b><font color="#222222"><font face="Arial, serif">Ciclo de seminários do Departamento de Estatística da UFRN - 2019</font></font></b><b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt"><br>
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<b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">Título</font></font></font></b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">:
</font></font></font><span><font color="#222222"><font face="Arial, serif"><font size="2"><span><span lang="pt-BR"><i><span style="font-weight: normal">Higher-order approximate confidence intervals</span></i></span></span></font></font></font></span><br>
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<b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">Palestrante</font></font></font></b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">: Prof. Dr. Francisco Moisés Cândido de Medeiros
– DEST/UFRN</font></font></font><br>
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<b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">Quando</font></font></font></b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">:
</font></font></font><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt">08 de maio de 2019, quarta-feira, às 14:00h.</font></font></font><br>
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<b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt"><span lang="en-US">Onde</span></font></font></font></b><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt"><span lang="en-US">:
</span></font></font></font><font face="Arial, serif"><font size="2" style="font-size: 10pt"><span lang="en-US">Auditório do CCET/UFRN</span></font></font></p>
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<font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt"><span lang="en-US"><b>Abstract:
</b></span></font></font></font><span><font color="#222222"><font face="Arial, serif"><font size="2" style="font-size: 10pt"><span><span lang="en-US"><span><span style="font-weight: normal">Standard confidence intervals employed in applied statistical analysis
are usually based on asymptotic approximations. Such approximations can be considerably inaccurate in small and moderate sized samples. We derive accurate confidence intervals based on higher-order approximate quantiles of the score function. The coverage
approximation error is O(n^{-3/2}) while the approximation error of confidence intervals based on the asymptotic normality of MLEs is O(n^{-1/2}). Monte Carlo simulations confirm theoretical findings. An implementation for regression models and real data applications
are provided.</span></span></span></span></font></font></font></span></p>
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