<div dir="ltr"><p style="line-height:150%;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:"Times New Roman",serif">Prezados, <p style="line-height:150%;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:"Times New Roman",serif">Temos o prazer de convidar a todos para participação no sexto seminário do “Ciclo de Seminários 2020 do Programa de Pós-Graduação em Estatística da UFRGS (PPGEst-UFRGS). Informações abaixo: Evento: Ciclo de Seminários 2020 do PPGEst-UFRGS Palestrante: Prof. Dr. Francisco Cribari (UFPE) Título: Improved testing inferences for beta regressions with parametric mean link function Resumo: Beta regressions are widely used for modeling random variables that assume values in the standard unit interval, (0,1), such as rates, proportions, and income concentration indices. Parameter estimation is typically performed via maximum likelihood and hypothesis testing inferences on the model parameters are commonly performed using the likelihood ratio test. Such a test, however, may deliver inaccurate inferences when the sample size is small. It is thus important to develop alternative testing procedures that are more accurate when the sample contains only few observations. In this paper, we introduce the beta regression model with parametric mean link function and derive two modified likelihood ratio test statistics for that class of models. We provide simulation evidence that shows that the new tests usually outperform the standard likelihood ratio test in samples of small to moderate sizes. We also present and discuss two empirical applications. Data: 03 de agosto de 2020 (segunda-feira) Horário: 14h00 às 15:20 (1 hora de apresentação e 20 min para perguntas) Local: Ambiente virtual Mconf (Acesso pelo link <a href="https://mconf.ufrgs.br/webconf/00040710" target="_blank" style="color:blue"><span style="font-size:12pt;line-height:150%;color:rgb(17,85,204);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">https://mconf.ufrgs.br/webconf/00040710</a><span style="font-size:12pt;line-height:150%;color:rgb(51,51,51);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">) Moderador: Prof. Dr. Fábio Mariano Bayer OBS 1: Após o acesso pelo link acima a participação na reunião será autorizada pelo moderador por ordem de acesso. O sistema permite um limite de 60 participantes. Os participantes externos à UFRGS deverão acessar a reunião através da opção “convidados”. OBS 2: A agenda de seminários pode ser acessada em <a href="https://www.ufrgs.br/ppgest/seminarios/" style="color:blue">https://www.ufrgs.br/ppgest/seminarios/</a> OBS 3: Abaixo os links para acessar as palestras anteriores autorizadas: Seminário 1 (Profa. Dra. Taiane Schaedler Prass, UFRGS) Link: <a href="https://youtu.be/_-DGDNepTno" target="_blank" style="color:blue">https://youtu.be/_-DGDNepTno</a> Seminário 3 (Prof. Dr. Marcelo Bourguignon Pereira, UFRN) Link: <a href="https://youtu.be/lYqEw_VZqV4" target="_blank" style="color:blue">https://youtu.be/lYqEw_VZqV4</a> Seminário 4 (Prof. Dr. Hedibert Freitas Lopes, Insper) Link: <a href="https://youtu.be/8PYG89fD8jQ" target="_blank" style="color:blue">https://youtu.be/8PYG89fD8jQ</a> Seminário 5 (Prof. Dr. Marcelo Fernandes, FGV) Link: <a href="https://youtu.be/hzJu8D9qc2I" style="color:blue">https://youtu.be/hzJu8D9qc2I</a> Contamos com a presença de todos. PPGEst-UFRGS <div> </div>-- <div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div> <div><div dir="ltr"><div dir="ltr">Danilo Marcondes Filho<div style="font-size:small">Department of Statistics Universidade Federal do Rio Grande do Sul (UFRGS)</div><div style="font-size:small"> Av. Bento Gonçalves, 9500 - Prédio 43-111 - Agronomia 91509-900 Porto Alegre - RS - BRAZIL Tel: <a href="tel:+55%2051%203308-7301" value="+555133087301" style="color:rgb(17,85,204)" target="_blank">+</a><a href="tel:+55%2051%203308-6194" value="+555133086194" style="color:rgb(17,85,204)" target="_blank">55 51 3308 62</a><a href="tel:+55%2051%203308-6194" value="+555133086194" style="color:rgb(17,85,204)" target="_blank">14</a> <a href="tel:+55%2051%203308-6194" value="+555133086194" style="color:rgb(17,85,204)" target="_blank">/</a> <a href="tel:+55%2051%203308-7301" value="+555133087301" style="color:rgb(17,85,204)" target="_blank">+</a><a href="tel:+55%2051%203308-6194" value="+555133086194" style="color:rgb(17,85,204)" target="_blank">55 51 999622276</a></div><div> </div></div></div></div></div><div> </div></div></div></div></div></div></div></div></div></div></div></div>