ABSTRACT A broad class of models that routinely appear in several fields can be expressed
as partially or fully discretized Gaussian linear regressions. Besides including classical …

Purpose The comparative outcome of primary hip and knee arthroplasty is not well
understood. This study aimed to investigate the outcome and satisfaction of these …

In statistical analysis, particularly in econometrics, it is usual to consider regression models
where the dependent variable is censored (limited). In particular, a censoring scheme to the …

The broad class of multivariate unified skew-normal (SUN) distributions has been recently
shown to possess fundamental conjugacy properties. When used as priors for the vector of …

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 …

The exact density of the sum of independent skew normal random variables - ScienceDirect
Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in …

Random-effects change point models are formulated for longitudinal data obtained from
cognitive tests. The conditional distribution of the response variable in a change point model …

When estimating regression models with missing outcomes, scientists usually have to rely
either on a missing at random assumption (missing mechanism is independent from the …

In this study, we use the maximum likelihood (ML) and the maximum product of spacings
(MPS) methodologies to estimate the location, scale and skewness parameters of the skew …

In this paper, we use a regression model for modeling bounded outcome scores (BOS),
where the outcome is Kumaraswamy distributed. Similar to the Beta distribution, this …