Skew normal measurement error models

72 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The Skew‐normal Distribution and Related Multivariate Families * (2005, background): “A statement more general but less operative than lemma 3 has been given by Azzalini & Capitanio (1999, section 7). The above formulation is in the form presented by Azzalini & Capitanio (2003) and, in a slightly different way, by Genton & Loperfido (2005); despite the discrepancy in publication date”
Bayesian Inference for Skew-normal Linear Mixed Models (2007, unknown): “Proof See Arellano-Valle et al. (2005).”
A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances (2018, methodology): “This model was also described as a particular case of the MEM in [10].”
Skew scale mixtures of normal distributions: Properties and estimation (2011, methodology): “Arellano–Valle et al. (2005) fitted a skew-normal measurement error model to these data and noted a stronger relationship between the variables and right skewness.”
Multivariate measurement error models based on scale mixtures of the skew–normal distribution (2010, unknown): “[8] have shown the advantage of using the skew-normal (SN) distribution in the context of the MEM.”