• português (Brasil)
    • English
    • español
  • English 
    • português (Brasil)
    • English
    • español
  • Login
About
  • Policies
  • Instructions to authors
  • Contact
    • Policies
    • Instructions to authors
    • Contact
View Item 
  •   Home
  • Centro de Ciências Exatas e de Tecnologia - CCET
  • Programas de Pós-Graduação
  • Interinstitucional em Estatística - PIPGEs
  • Teses e dissertações
  • View Item
  •   Home
  • Centro de Ciências Exatas e de Tecnologia - CCET
  • Programas de Pós-Graduação
  • Interinstitucional em Estatística - PIPGEs
  • Teses e dissertações
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsAdvisorTitlesSubjectsCNPq SubjectsGraduate ProgramDocument TypeThis CollectionBy Issue DateAuthorsAdvisorTitlesSubjectsCNPq SubjectsGraduate ProgramDocument Type

My Account

Login

Contribuições sobre o envelope simulado na análise de diagnóstico em modelos de regressão

Thumbnail
View/Open
Diss_Victor_Final_UFSCar.pdf (1.056Mb)
Date
2019-04-30
Author
Fernandes, Victor Vinicius
Metadata
Show full item record
Abstract
The simulated envelope is a diagnostic analysis method used to evaluate the hypothesis about the probability distribution assumed for the response variable in a regression model. In this work, we describe some procedures to obtain the simulated envelope and, later, we propose a method to decide if we should reject a model using the envelope. In order to compare our procedure with other proposals, we performed a Monte Carlo simulation study in two classes of regression models. The results indicate that the proposed method presents good performance, since it provides stable rejection rates of the model under the correct distribution. About other methodologies, besides having a higher computational cost, the rejection rate under the correct model increases as the sample size rises. In addition, we also compare the full normal plot and the half normal plot with envelope using Monte Carlo simulations studies. The results suggest that, in general, the full normal plot performs better, especially with the proposed procedure. Finally, we apply our decison method and the other proposals to real data from the National Health Survey (Brazil) of 2013. To these data, our method suggested a different decision from that one provided by the other procedures.
URI
https://repositorio.ufscar.br/handle/ufscar/11534
Collections
  • Teses e dissertações

UFSCar
Universidade Federal de São Carlos - UFSCar
Send Feedback

UFSCar

IBICT
 

 


UFSCar
Universidade Federal de São Carlos - UFSCar
Send Feedback

UFSCar

IBICT