A skew factor analysis model based on the normal mean–variance mixture of Birnbaum–Saunders distribution
From MaRDI portal
Publication:5861394
DOI10.1080/02664763.2019.1709054OpenAlexW2999826176MaRDI QIDQ5861394
Farzane Hashemi, Ahad Jamalizadeh, Mehrdad Naderi, Tsung I. Lin
Publication date: 1 March 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2019.1709054
Related Items (3)
A flexible factor analysis based on the class of mean-mixture of normal distributions ⋮ A robust factor analysis model based on the canonical fundamental skew-\(t\) distribution ⋮ Flexible factor model for handling missing data in supervised learning
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Generalization of Shapiro–Wilk's Test for Multivariate Normality
- Finite mixtures of canonical fundamental skew \(t\)-distributions. The unification of the restricted and unrestricted skew \(t\)-mixture models
- A robust factor analysis model using the restricted skew-\(t\) distribution
- On formulations of skew factor models: skew factors and/or skew errors
- Generating generalized inverse Gaussian random variates
- Extending mixtures of factor models using the restricted multivariate skew-normal distribution
- Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution
- Estimating the dimension of a model
- Model-based clustering of censored data via mixtures of factor analyzers
- Nonlinear regression models based on the normal mean-variance mixture of Birnbaum-Saunders distribution
- Robust model-based clustering via mixtures of skew-\(t\) distributions with missing information
- A novel mixture model using the multivariate normal mean-variance mixture of Birnbaum-Saunders distributions and its application to extrasolar planets
- Maximum likelihood estimation via the ECM algorithm: A general framework
- On the Relationship between Two Fatigue-Life Models
- Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
- Infinite divisibility of the hyperbolic and generalized inverse Gaussian distributions
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- A skew-normal factor model for the analysis of student satisfaction towards university courses
- Skew-normal factor analysis models with incomplete data
- Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution
- Multivariate normal mean–variance mixture distribution based on Birnbaum–Saunders distribution
- A new family of life distributions
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- Skewed factor models using selection mechanisms
This page was built for publication: A skew factor analysis model based on the normal mean–variance mixture of Birnbaum–Saunders distribution
