The aim of this paper is the estimation of NLME models considering normal/independent distributions for the error term and random effects, under the Bayesian ...

In this article, we utilize normal/independent distributions as a tool for robust mod- eling of NLME models under a Bayesian paradigm. The normal/independent ...

As is the case of many studies, the data collected are limited and an exact value is recorded only if it falls within an interval range.

This work, therefore, aims to develop a robust GLMM framework by replacing the normality assumption on the random effects by the distributions belonging to the ...

In this context, the use of normal/independent distributions arises as a tool for robust modeling of NLME models. ... The aim of this paper is the estimation of ...

Bayesian inference in nonlinear mixed-effects models using normal independent distributions. Full text. Author(s):. Lachos, Victor H. ; Castro, Luis M.

In Section 2, we develop nonlinear mixed-effects (NLME) Tobit models with multivariate skew-elliptical distributions in general forms. In Section 3, we present ...

This paper considers an extension of the nonlinear mixed-effects models in which random effects and within-subject errors are assumed to be distributed ...

The purpose of this paper is to analyze the performance of linear and nonlinear mixed models of fertilizer dosing with independent normally distributed random ...

Mar 23, 2020 · A standard assumption is that the random effects of Generalized Linear Mixed Effects. Models (GLMMs) follow the normal distribution.