arXiv · 1204.6286
Skewed Multivariate Birnbaum-Saunders Distributions
Abstract
The univariate Birnbaum-Saunders distribution has been used quite effectively to model times to failure for materials subject to fatigue and for modeling lifetime data. In this article, we define a skewed version of the Birnbaum-Saunders distribution in the multivariate setting and derive several of its properties. The proposed skewed multivariate model is an absolutely continuous distribution whose marginals are univariate Birnbaum-Saunders distributions. Estimation of the parameters by maximum likelihood is discussed and the Fisher's information matrix is determined. A skewed bivariate version for the generalized Birnbaum-Saunders distribution is also introduced. We provide an application to real data which illustrates the usefulness of the proposed multivariate model.
Explore related subjects
Keep this discovery
Artur J. Lemonte, Guillermo Martínez-Florez, Germán Moreno-Arenas. 2012-04-27. Skewed Multivariate Birnbaum-Saunders Distributions. https://arxiv.org/abs/1204.6286
Cite the original work for its findings. Save a collection to share your selection of sources.