Boletim do resumo e programas (XIV EMR 2015)

More documents

Recommendations

Info

XIV Escola de Modelos de Regressão De 2 a 5 de Março de 2015 - Centro de Convenções - Unicamp 19 Conferência 12 (CF12) Analysis of academic performance of students via quasi U-statistics and generalized linear mixed models Hildete Prisco Pinheiro Department of Statistics, University of Campinas, Brazil Resumo: We present methods to assess undergraduate students’ performance. Emphasis is mainly given to potential dissimilar behaviors due to high school background (Private or Public), but socioeconomic status and demographic characteristics may be used as well. Two analysis are presented: one based on a nonparametric method using measures of diversity and a decomposition of quasi U- statistics to define average distances between and within groups; and another based on generalized linear mixed models (GLMM). An advantage of the nonparametric method over the classical analysis of variance is its robustness to distributional deviation from the normality. Moreover, compared with other nonparametric methods, it also includes tests for interaction effects which are not rank transform procedures. Two data sets are analyzed, being both of them from the University of Campinas (Unicamp). The first one is formed by students who enrolled at Unicamp between 1997 and 2000 and their academic performance has been recorded until graduation or drop-out. The second data set is formed by students admitted to Unicamp from 2000 through 2005 and their academic performance and socioeconomic variables forms the study database. For each student we have the Entrance Exam Score (EES), the final Grade Point Average (GPA) score as well as the number of courses he/she failed during his/her Bachelor’s degree. The courses are separated in two categories: Required and Elective. Therefore, for the GPAscore and the number of courses failed, each student may have at most two measurements. We model the GPA score and the incidence of courses failed for Required and Elective courses according to the EES, socioeconomic and demographic characteristics. Joint work with Mariana R. Motta e Gabriel Franco. Data e Horário Auditório 2 Março 4 15: 00 ate 16: 00 : emrxiv@gmail.com : http://www.ime.usp.br/~abe/emr2015
XIV Escola de Modelos de Regressão De 2 a 5 de Março de 2015 - Centro de Convenções - Unicamp 20 Conferência de Encerramento Extended Families of Continuos Distributions Gauss Cordeiro DE – UFPE Resumo: The construction of some wider families of continuous distributions obtained recently has attracted applied statisticians because the analytical facilities available for easy computation of special functions in programming softwares. In this talk, we outline some recent generating families of continuous distributions and discuss some of their properties. We review the beta, Kumaraswamy, gamma and T- X families of distributions. Some special cases, which are natural members of these families, are presented. Several known continuous distributions are found to be special cases of the current families. These properties are not difficult to be implemented in programming softwares such as R, MATHEMATICAand MAPLE. Some examples illustrate the potentiality of the new models. Data e Horário Março 5 11: 20 ate 12: 30 Auditório 3 : emrxiv@gmail.com : http://www.ime.usp.br/~abe/emr2015
Page 1 and 2: Em homenagem ao 65º aniversário d
Page 3 and 4: XIV Escola de modelos de Regressão
Page 5 and 6: XIV Escola de Modelos de Regressão
Page 21: XIV Escola de Modelos de Regressão
Page 73 and 74:
XIV Escola de Modelos de Regressão
Page 75 and 76:
Page 77 and 78:
show all

Boletim do resumo e programas (XIV EMR 2015)

Create successful ePaper yourself

Delete template?

Save as template?