<div dir="ltr"><div style="text-align:justify"><p class="MsoNormal" style="margin:0cm 28.3pt 0.0001pt 0cm;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt">O
Ciclo de Palestras do Departamento de Estatística da Universidade
Federal da Bahia convida todos os interessados para o seminário do <b>Professor </b></span><b><span style="font-size:10pt;color:black">Danilo Marcondes Filho </span></b><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">do </span><b><span style="font-size:10pt;color:black">Departamento de Estatística da UFRGS</span></b><b><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">.</span></b><b><u><span style="font-size:10pt"></span></u></b></p><p class="MsoNormal" style="margin:0cm 56.65pt 0.0001pt 1cm;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt"> </span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt" lang="EN-US">Título:</span></b><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial" lang="EN-US"> <span class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-apple-converted-space"> </span></span><span style="font-size:10pt" lang="EN-US">Statistical Process Control using STATIS method</span><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial" lang="EN-US">.</span><span style="font-size:10pt" lang="EN-US"></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt" lang="EN-US"> </span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt" lang="EN-US">Resumo:</span></b><span style="font-size:10pt" lang="EN-US"> </span><span class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-apple-converted-space"><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial" lang="EN-US"> </span></span><span style="font-size:10pt" lang="EN-US">Industrial
batch processing is widely used in a number of areas of industrial
production. In such processes, simultaneous and real-time measurements
are taken from different process variables and large databases become
thus available, enabling the precise monitoring of industrial
operations. Data emerging from batch processes present special
characteristics, like dynamic features, nonlinearity of data,
non-gaussian data, etc; and there is therefore a growing interest in the
development of customized multivariate control charts for their
monitoring. Here we investigate an approach that uses control charts
based on the STATIS method (from French: Structuration des Tableaux A
Trois Indices de la Statistique), an exploratory technique for measuring
similarities between data sets. Data are arranged in such a way that
the monitoring along time is prioritized. The methodology easily allows
a nonparametric on-line monitoring of complex batch processes in time,
in situations where a large number of variables are present. The good
performance of this approach is illustrated using simulated data.</span><span style="font-size:10pt" lang="EN-US"></span></p><p class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-MsoListParagraphCxSpFirst" style="font-size:12.8px;margin:0cm 0cm 0.0001pt;line-height:normal"><b><span style="font-size:10pt" lang="EN-US"> </span></b></p><p class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-MsoListParagraphCxSpMiddle" style="font-size:12.8px;margin:0cm 0cm 0.0001pt;line-height:normal"><b><span style="font-size:10pt">Data</span></b><span style="font-size:10pt">: 17/03/2017</span></p><p class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-MsoListParagraphCxSpLast" style="font-size:12.8px;margin:0cm 0cm 0.0001pt;line-height:normal"><b><span style="font-size:10pt">Horário</span></b><span style="font-size:10pt">: 11:00hs</span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt">Local</span></b><span style="font-size:10pt"> : Auditório do Instituto de Matemática e Estatística da UFBA</span><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">.</span><span style="font-size:10pt"></span></p><p class="gmail-m_-3005186958577309238gmail-m_3577248748410916585gmail-MsoNoSpacing" style="font-size:12.8px;margin:0cm 19.8pt 0.0001pt 1cm"><b style="font-size:12.8px"><span style="font-size:10pt"> </span></b><br></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span style="font-size:10pt">Minicurrículo: </span></b><span style="font-size:10pt;color:black">Graduado
em Estatística pela Universidade Federal do Rio Grande do Sul (UFRGS)
em 1993, realizou mestrado e doutorado em Engenharia de Produção na
UFRGS, com término em 2001 e 2009, respectivamente. Foi professor da
Faculdade Monteiro Lobato entre 2005 e 2006, e professor da Universidade
do Vale do Rio dos Sinos de 1997 até 2008. Desde 2008 é professor
adjunto do Departamento de Estatística da Universidade Federal do Rio
Grande do Sul. Tem experiência acadêmica na área de probabilidade e
estatística aplicada ao Controle Estatístico do Processo.</span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;color:black"><br></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="font-size:10pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Att.</span><span style="font-size:10pt"></span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;text-align:start;line-height:normal"><b><span style="font-size:10pt"> </span></b></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;text-align:start;line-height:normal"><b><span style="font-size:10pt">Coordenadores: </span></b><span style="font-size:10pt">Lizandra C. Fabio (<a href="mailto:lizandra.fabio@ufba.br" target="_blank">lizandra.fabio@ufba.br</a>)</span></p><p class="MsoNormal" style="margin-bottom:0.0001pt;font-size:12.8px;text-align:start;line-height:normal"><span style="font-size:10pt"> Bruno Santos (</span><a href="mailto:brunorsantos@ufba.br" target="_blank"><span style="font-size:9.5pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">brunorsantos@ufba.br</span></a><span style="font-size:10pt">)</span></p></div></div>