toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Marchant, C.; Leiva, V.; Cysneiros, F.J.A.; Vivanco, J.F. pdf  doi
  Title Diagnostics in multivariate generalized Birnbaum-Saunders regression models Type
  Year 2016 Publication Journal Of Applied Statistics Abbreviated Journal J. Appl. Stat.  
  Volume 43 Issue 15 Pages 2829-2849  
  Keywords Birnbaum-Saunders distributions; global and local influence; goodness-of-fit; multivariate data analysis; R software  
  Abstract Birnbaum-Saunders (BS) models are receiving considerable attention in the literature. Multivariate regression models are a useful tool of the multivariate analysis, which takes into account the correlation between variables. Diagnostic analysis is an important aspect to be considered in the statistical modeling. In this paper, we formulate multivariate generalized BS regression models and carry out a diagnostic analysis for these models. We consider the Mahalanobis distance as a global influence measure to detect multivariate outliers and use it for evaluating the adequacy of the distributional assumption. We also consider the local influence approach and study how a perturbation may impact on the estimation of model parameters. We implement the obtained results in the R software, which are illustrated with real-world multivariate data to show their potential applications.  
  Address [Marchant, Carolina; Cysneiros, Francisco Jose A.] Univ Fed Pernambuco, Dept Stat, Recife, PE, Brazil, Email:  
  Corporate Author Thesis  
  Publisher Taylor & Francis Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0266-4763 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000384263000009 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 662  
Permanent link to this record
Select All    Deselect All
 |   | 

Save Citations:
Export Records: