[ABE-L] Seminário do Programa de Pós-Graduação em Estatística da UFPE - 2014

[Dalton Andrade]

Francisco,
 Eu gostaria de ter uma cópia dos slides do seminário. Isto seria possível?
 Um abraço,

Dalton

Enviada do meu iPhone

> Em 22/11/2014, às 20:56, Francisco Cysneiros <cysneiros em de.ufpe.br> escreveu:
> 
> 
> Seminário do Programa de Pós-Graduação em Estatística da UFPE
> 
> "Modelagem e análise de dados incompletos"
>  
>  
> Dra. Anna Sikov
>  
> IME - USP
>  
>  
> Data: 25 de novembro de 2014 (quarta-feira)
>  
>  
>  
> Horário: 16:00 horas
> 
> Local: Auditório Ruy Gomes - Departamento de Estatística da UFPE, 
> Segundo andar do CCEN
> 
>  
>  
> Resumo
>  
> In this research we develop and apply new techniques for handling nonignorable nonresponse. Most of the methods dealing with this problem assume that the missingness (nonresponse) is only for the target outcome variable, whereas the auxiliary (explanatory) variables are observed for both the respondents and the nonrespondents. This, however, is not always true and we consider also the case of ‘unit nonresponse’, where the auxiliary information for the nonrespondents is likewise unobserved, except, perhaps, for the population means of some or all of the auxiliary variables. These means are often available from administrative and census records. In order to evaluate our approach and compare it to other approaches studied in the literature, we analyze income data collected as part of the Household Expenditure Survey carried out by the Israel Central Bureau of Statistics in 2005. The initial response rate in this survey was as low as 43%. After several recalls, the response rate went up to 90%. This survey provides us therefore the unique opportunity of comparing the imputed values after the first interview with the actual true values obtained.
> -- 
> Francisco José A. Cysneiros
> Associate professor 
> Head of the Graduate Program in Statistics
> Departament of Statistics - UFPE
> www.de.ufpe.br/~cysneiros
> http:/lattes.cnpq.br/1313497098151734
> ResearchedId G-633-2012
> ORCID
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