Influence diagnostics in Birnbaum-Saunders nonlinear regression models

Details Influence diagnostics in Birnbaum-Saunders nonlinear regression models Influence diagnostics in Birnbaum-Saunders nonlinear regression models

2009-04-27

arxiv.org/abs/0904.4139v1

Statistics

Methodology

10 pages, submitted for publication

Scientific paper

10.1080/02664761003692357

We consider the issue of assessing influence of observations in the class of Birnbaum-Saunders nonlinear regression models, which is useful in lifetime data analysis. Our results generalize those in Galea et al. [2004, Influence diagnostics in log-Birnbaum-Saunders regression models. Journal of Applied Statistics, 31, 1049-1064] which are confined to Birnbaum-Saunders linear regression models. Some influence methods, such as the local influence, total local influence of an individual and generalized leverage are discussed. Additionally, the normal curvatures of local influence are derived under various perturbation schemes.

Affiliated with

Also associated with

No associations

Rating

Influence diagnostics in Birnbaum-Saunders nonlinear regression models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Influence diagnostics in Birnbaum-Saunders nonlinear regression models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Influence diagnostics in Birnbaum-Saunders nonlinear regression models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-322686