Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distribu\-tions

DOI10.1016/j.spl.2011.03.019zbMath1219.62111OpenAlexW2161732908WikidataQ35076620 ScholiaQ35076620MaRDI QIDQ553044

Aldo M. Garay, Dipankar Bandyopadhyay, Victor Hugo Lachos

Publication date: 26 July 2011

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2011.03.019

zbMATH Keywords

EM algorithmhomogeneity

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) General nonlinear regression (62J02)

Related Items

A flexible semiparametric regression model for bimodal, asymmetric and censored data, The robust EM-type algorithms for log-concave mixtures of regression models, Diagnostics on nonlinear model with scale mixtures of skew-normal and first-order autoregressive errors, Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach, Quadratic extrapolation for accelerating convergence of the EM fixed point problem, A semiparametric approach for joint modeling of median and skewness

Uses Software

• R

Cites Work

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