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Robust generalized hyperbolic secant algorithm for nonlinear active noise control
Applied Acoustics, 2023Yang Zhou
exaly
Nonparametric Risk Management With Generalized Hyperbolic Distributions
Journal of the American Statistical Association, 2008Seok-Oh Jeong
exaly
On the property of multivariate generalized hyperbolic distribution and the Stein-type inequality
Communications in Statistics - Theory and Methods, 2018Jing Yao
exaly
Multivariate regression models with measurement errors under generalized hyperbolic distributions
Measurement error models (MEMs), also known as errors-in-variables models, are useful tools used to describe various phenomena across multiple disciplines. MEMs establish functional relationships among variables that are observed with random measurement errors. This thesis focuses on studying the multivariate linear regression model when covariates areopenaire +1 more source

