An overview on the progeny of the skew-normal family—A personal perspective
A Azzalini - Journal of Multivariate Analysis, 2022 - Elsevier
In the last two decades or so, much work has been dedicated to the portion of distribution
theory stemming from the skew-normal distribution and its ramification. This contribution …
theory stemming from the skew-normal distribution and its ramification. This contribution …
A new robust regression model for proportions
A new regression model for proportions is presented by considering the Beta rectangular
distribution proposed by Hahn (2008). This new model includes the Beta regression model …
distribution proposed by Hahn (2008). This new model includes the Beta regression model …
Linear mixed models for skew‐normal/independent bivariate responses with an application to periodontal disease
Bivariate clustered (correlated) data often encountered in epidemiological and clinical
research are routinely analyzed under a linear mixed model (LMM) framework with …
research are routinely analyzed under a linear mixed model (LMM) framework with …
Bootstrap tests for the location parameter under the skew-normal population with unknown scale parameter and skewness parameter
R Ye, B Fang, W Du, K Luo, Y Lu - Mathematics, 2022 - mdpi.com
In this paper, the inference on location parameter for the skew-normal population is
considered when the scale parameter and skewness parameter are unknown. Firstly, the …
considered when the scale parameter and skewness parameter are unknown. Firstly, the …
Multivariate measurement error models with normal mean‐variance mixture distributions
The class of normal mean‐variance mixture (NMVM) distributions is a rich family of
asymmetric and heavy‐tailed distributions and has been widely considered in parametric …
asymmetric and heavy‐tailed distributions and has been widely considered in parametric …
Robust Bayesian inference for multivariate longitudinal data by using normal/independent distributions
Many randomized clinical trials collect multivariate longitudinal measurements in different
scales, for example, binary, ordinal, and continuous. Multilevel item response models are …
scales, for example, binary, ordinal, and continuous. Multilevel item response models are …
[PDF][PDF] The wrap** approach for circular data Bayesian modeling
C Ferrari - 2009 - amsdottorato.unibo.it
Although circular data are special, they arise in many different contexts. Examples are found
in earth sciences, meteorology, biology, physics, etc. Standard statistical techniques cannot …
in earth sciences, meteorology, biology, physics, etc. Standard statistical techniques cannot …