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O<span> </span><span data-markjs="true" class="markgj1tywnnc" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">Ciclo</span><span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span> </span>Seminários
do<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">De</span>partamento<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span> </span>Estatística
(<span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">DE</span>ST) da UFRN apresenta uma série<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span> </span>3
seminários ministrada pelo professor Geoff Vining do<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">De</span>partamento<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span> </span>Estatística
da Virgínia Tech.
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<span class="x_elementToProof" style="font-size:12pt;margin:0px;background-color:rgb(255, 255, 255)"><span style="margin:0px">O seminário que ocorreria dia 27<span style="margin:0px"> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span style="margin:0px"> </span>junho
ocorerrá em <b>05<span style="margin:0px"> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span style="margin:0px"> </span>julho</b><span style="margin:0px"> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span><span style="margin:0px"> </span>2022,
às <b>15 horas</b>, no auditódio do CCET da UFRN. O último seminário desta série ocorrerá dia
<b>11 de julho</b>. Todos serão transmitidos ao vivo e ficarão disponíveis no canal do YouTube do<span style="margin:0px"> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">DE</span>ST
UFRN</span></span></div>
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<span class="x_elementToProof" style="font-size:12pt;margin:0px;background-color:rgb(255, 255, 255)"><span style="margin:0px"> </span></span><span class="x_elementToProof" style="font-size:12pt;margin:0px;background-color:rgb(255, 255, 255)"><a href="https://youtube.com/channel/UCr_8R_aiS69hroG4-Yvzv4Q" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin:0px">https://youtube.com/channel/UCr_8R_aiS69hroG4-Yvzv4Q</a></span><br>
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Resumo:</div>
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<span style="font-family:"Times New Roman";margin:0px">This seminar series consists of three approximately one hour lectures in English introducing Weibull regression and its application within reliability studies. Weibull regression is extremely important
for accelerated life tests where the assumed failure mechanism is “failure due to the weakest link.” The final lecture summarizes an actual NASA study that studied the expected failure rates of composite overwrapped pressure vessels very commonly used on
spacecraft.<span> </span></span><span style="font-family:"Times New Roman";margin:0px"> </span></p>
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<span style="font-family:"Times New Roman";margin:0px">The first lecture provides the origins and the foundations for the standard two-parameter Weibull distribution. It<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span>rives
the distribution and its various forms, in particular the hazard function, which is extremely important for explain the risk of failure for the system over time. It then presents a high level overview of estimation and inference of the important parameters.
It then introduces the concept of censoring.</span><span style="font-family:"Times New Roman";margin:0px"> </span></p>
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<span style="font-family:"Times New Roman";margin:0px">The second lecture covers two major topics. The first is the power law model critical for accelerated life tests. Many systems have quite long expected lifetimes. As a result, engineers often “stress”
the system to produce failures in a much shorter period of time. The power law is the most common empirical approach to such testing. The second major topic is proper residual plots for assessing the assumption of the Weibull distribution. Some of this
work appears to be novel.</span><span style="font-family:"Times New Roman";margin:0px"> </span></p>
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<span style="font-family:"Times New Roman";margin:0px">The third lecture summarizes the NASA study. It highlights the importance of the proper analysis of the data, especially when<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span>aling
with engineers who do not understand proper data analysis. How does the data analyst<span> </span><span data-markjs="true" class="mark5xnhqf25m" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin:0px">de</span>al with an engineer who has planned
the perfect experiment to test everyone of her/his theories, and the data contradict all of them?</span><span style="font-family:"Times New Roman";margin:0px"> </span></p>
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<span style="font-family:"Times New Roman";margin:0px">Traditionally, mathematical statisticians tend to dominate the field of statistical analysis of reliability data. These people often have little appreciation for linear models and their analyses. Power
law models ultimately are linear models that require likelihood based estimation and inference. This series of lectures illustrates how to combine the mathematical statistics and the linear models theory to enhance the understanding of the experimental results.</span><span style="font-family:"Times New Roman";margin:0px"> </span></p>
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Atenciosamente,</div>
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Andressa N Siroky</div>
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Professora Adjunta do DEST-<span style="color: rgb(0, 0, 0); font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;">UFRN</span></div>
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