A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances
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Publication:4960674
DOI10.1080/00949655.2018.1452925OpenAlexW2792413178MaRDI QIDQ4960674
Mário de Castro, Lorena Cáceres Tomaya
Publication date: 23 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2018.1452925
maximum likelihoodECM algorithmskew-\(t\) distributionheteroscedastic errorserrors-in-variables model
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Uses Software
Cites Work
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- A general skew-\(t\) mixed model that allows different degrees of freedom for random effects and error distributions
- Multivariate measurement error models using finite mixtures of skew-Student \(t\) distributions
- On estimation of a heteroscedastic measurement error model under heavy-tailed distributions
- Bayesian analysis of skew-\(t\) multivariate null intercept measurement error model
- Score test for the covariance matrix of the elliptical \(t\)-distribution
- Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions
- Estimation in skew-normal linear mixed measurement error models
- On estimation of measurement error models with replication under heavy-tailed distributions
- Skew normal measurement error models
- Maximum likelihood estimation via the ECM algorithm: A general framework
- The EM Algorithm and Extensions, 2E
- Measurement Error
- Statistical Applications of the Multivariate Skew Normal Distribution
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error
- Multivariate measurement error models based on scale mixtures of the skew–normal distribution
- Measurement Error in Nonlinear Models
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