We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator ...

When researchers verify the effects of genes or gene–environment interactions on common diseases or age-related diseases, such as diabetes, cancer, or coronary heart disease, they usually regard age ...

When the response functions are the default generalized logits, then inclusion of the keyword _RESPONSE_ in every effect in the right-hand side of the MODEL statement induces a log-linear model. The ...

We study parameter estimation in linear Gaussian covariance models, which are p-dimensional Gaussian models with linear constraints on the covariance matrix. Maximum likelihood estimation for this ...

The correlations between the counts are modeled as , (exchangeable correlations). For comparison, the correlations are also modeled as independent (identity correlation matrix). In this model, the ...