Multivariate Birnbaum-Saunders Distributions: Modelling and Applications
AbstractSince its origins and numerous applications in material science, the Birnbaum–Saunders family of distributions has now found widespread uses in some areas of the applied sciences such as agriculture, environment and medicine, as well as in quality control, among others. It is able to model varied data behaviour and hence provides a flexible alternative to the most usual distributions. The family includes Birnbaum–Saunders and log-Birnbaum–Saunders distributions in univariate and multivariate versions. There are now well-developed methods for estimation and diagnostics that allow in-depth analyses. This paper gives a detailed review of existing methods and of relevant literature, introducing properties and theoretical results in a systematic way. To emphasise the range of suitable applications, full analyses are included of examples based on regression and diagnostics in material science, spatial data modelling in agricultural engineering and control charts for environmental monitoring. However, potential future uses in new areas such as business, economics, finance and insurance are also discussed. This work is presented to provide a full tool-kit of novel statistical models and methods to encourage other researchers to implement them in these new areas. It is expected that the methods will have the same positive impact in the new areas as they have had elsewhere. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Aykroyd, R.G.; Leiva, V.; Marchant, C. Multivariate Birnbaum-Saunders Distributions: Modelling and Applications. Risks 2018, 6, 21.
Aykroyd RG, Leiva V, Marchant C. Multivariate Birnbaum-Saunders Distributions: Modelling and Applications. Risks. 2018; 6(1):21.Chicago/Turabian Style
Aykroyd, Robert G.; Leiva, Víctor; Marchant, Carolina. 2018. "Multivariate Birnbaum-Saunders Distributions: Modelling and Applications." Risks 6, no. 1: 21.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.