Mean mixtures of normal distributions: properties, inference and application

DOI10.1007/s00184-018-0692-xzbMath1481.60026OpenAlexW2895907638WikidataQ129054863 ScholiaQ129054863MaRDI QIDQ2312025

Hossein Negarestani, Sobhan Shafiei, Ahad Jamalizadeh, Narayanaswamy Balakrishnan

Publication date: 4 July 2019

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-018-0692-x

zbMATH Keywords

infinitely divisible distributionnonlinear regressionskew normal distributionECM algorithm

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)

Related Items (9)

A flexible factor analysis based on the class of mean-mixture of normal distributions ⋮ Family of mean-mixtures of multivariate normal distributions: properties, inference and assessment of multivariate skewness ⋮ Clustering asymmetrical data with outliers: parsimonious mixtures of contaminated mean-mixture of normal distributions ⋮ Bayesian inference and prediction for mean-mixtures of normal distributions ⋮ Unnamed Item ⋮ Unnamed Item ⋮ A formulation for continuous mixtures of multivariate normal distributions ⋮ An overview of skew distributions in model-based clustering ⋮ Modelling skewed and heavy-tailed data using a normal weighted inverse Gaussian distribution

Uses Software

• alr3
• sn
• alr4

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A general class of scale-shape mixtures of skew-normal distributions: properties and estimation
• On mixtures of skew normal and skew \(t\)-distributions
• Log-concavity and monotonicity of hazard and reversed hazard functions of univariate and multivariate skew-normal distributions
• Estimation of extreme percentiles in Birnbaum-Saunders distributions
• The nontruncated marginal of a truncated bivariate normal distribution
• Skewed distributions generated by the normal kernel.
• Variance-mean mixture of the multivariate skew normal distribution
• Failure rate of Birnbaum-Saunders distributions: shape, change-point, estimation and robustness
• Infinite divisibility of skew Gaussian and Laplace laws
• A new class of skew-Cauchy distributions
• On the infinite divisibility of some skewed symmetric distributions
• SOME RESULTS ON REVERSED HAZARD RATE
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Microarray background correction: maximum likelihood estimation for the normal-exponential convolution
• On the Unification of Families of Skew-normal Distributions
• Normal Variance-Mean Mixtures and z Distributions
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• RELIABILITY STUDIES OF THE SKEW-NORMAL DISTRIBUTION AND ITS APPLICATION TO A STRENGTH-STRESS MODEL
• Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
• Factor Copula Models for Replicated Spatial Data
• The Skew-normal Distribution and Related Multivariate Families*
• A general class of multivariate skew-elliptical distributions
• A new look at the statistical model identification

This page was built for publication: Mean mixtures of normal distributions: properties, inference and application