Factor analysis is a statistical technique for data reduction and structure detection that traditionally relies on the normality assumption for factors. However, due to the presence of non-normal features such as asymmetry ...
Finite mixture models have recently been considered for analyzing positive support economical data streams with non-normal features. In this paper, a new mixture model based on the novel class of generalized Birnbaum–Saunders ...
The generalization of Birnbaum-Saunders (BS) distribution has recently received considerable attention to provide
accurate inferential results in dealing with survival data, reliability problems, fatigue life studies and ...
The assumption of symmetry is often incorrect in real-life statistical modeling due to
asymmetric behavior in the data. This implies a departure from the well-known assumption of
normality defined for innovations in time ...
This paper introduces a new family of matrix variate distributions based on the mean-mixture
of normal (MMN) models. The properties of the new matrix variate family, namely stochastic
representation, moments and ...
