<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN"> <html> <head> <title></title> </head> <body style="font-family:Arial;font-size:14px"> Ciclo de Palestras do Programa de Pós-graduação em Estatística da UnB Divulgação de palestra do Programa de Pós-graduação em Estatística da UnB. Palestrante: Silvia Ferrari (IME-USP) Título: Box-Cox symmetric distributions and applications to nutritional data DATA: 08/10/2015 (quinta-feira) HORÁRIO: 14:00 h LOCAL: Sala Multiuso EST Resumo We introduce and study the Box-Cox symmetric class of distributions, which is useful for modeling positively skewed, possibly heavy-tailed, data. The new class of distributions includes the Box-Cox t, Box-Cox Cole-Green, Box-Cox power exponential distributions, and the class of the log-symmetric distributions as special cases. It provides easy parameter interpretation, which makes it convenient for regression modeling purposes. Additionally, it provides enough flexibility to handle outliers. The usefulness of the Box-Cox symmetric models is illustrated in a series of applications to nutritional data. Key words: Box-Cox transformation; Symmetric distributions; Box-Cox power exponential distribution; Box-Cox t distribution; nutrients intake. Joint work with Giovana Fumes. </body> </html>