Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach
In this paper, a joint model for analyzing multivariate mixed ordinal and continuous
responses, where continuous outcomes may be skew, is presented. For modeling the …
responses, where continuous outcomes may be skew, is presented. For modeling the …
Estimation in shape mixtures of skew-normal linear regression models via ECM coupled with Gibbs sampling
In this paper, we study linear regression models in which the error term has shape mixtures
of skew-normal distribution. This type of distribution belongs to the skew-normal (SN) …
of skew-normal distribution. This type of distribution belongs to the skew-normal (SN) …
Model-based Computed Tomography Image Estimation: Partitioning Approach
There is a growing interest to get a fully MR based radiotherapy. The most important
development needed is to obtain improved bone tissue estimation. The existing model …
development needed is to obtain improved bone tissue estimation. The existing model …
A linear mixed model for analyzing longitudinal skew-normal responses with random dropout
M Ganjali, T Baghfalaki, M Khazaei - Journal of the Korean Statistical …, 2013 - Elsevier
In this paper, a linear mixed effects model is used to fit skewed longitudinal data in the
presence of dropout. Two distributional assumptions are considered to produce background …
presence of dropout. Two distributional assumptions are considered to produce background …
Model-based computed tomography image estimation: partitioning approach
There is a growing interest to get a fully MR based radiotherapy. The most important
development needed is to obtain improved bone tissue estimation. The existing model …
development needed is to obtain improved bone tissue estimation. The existing model …