Although it is common practice to fit a complex Bayesian model using Markov chain Monte Carlo (MCMC) methods, we provide an alternative sampling-based method to fit a two-stage hierarchical model in ...

is the constant scale parameter specified in the method dialog or a value of 1.0 for maximum-likelihood estimation for Poisson or binomial distributions.

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

In this article, we obtain an estimator of the regression parameters for generalized linear models, using the Jacobian technique. We restrict ourselves to the natural exponential family for the ...

is the deviance divided by its associated degrees of freedom. When the scale parameter is a constant specified in the method dialog, or when the response has a Poisson or binomial distribution, the ...

Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...