Linear Models for the regressive approach to incorporate the structural and organisational characteristics of hospitals and … towards risk retention practises, legally empowered by the introduction of Law No. 24/2017. The analysis employs Generalised …

linear models, and diverse distributions in the model’s estimation method. In this work, we differentiate the HS approach by … model. Our aim is to thoroughly evaluate and stress test the HS model by deploying various link functions, using generalised …

, attachment to property, and opinions about vegetation management control. Principal components analysis and generalised linear … models were used to select and assess the influence of the explanatory variables. An economic factor, farm size, had the …

-induced damage. Deviating from this trend, the present study adopts the more realistic generalised linear models which address the …

abundance data to a set of influential variables in a regression setup. In particular, generalised linear models are used to … the key assumptions of generalised linear models, the independence of the observations is often violated in practice since … done in the context of generalised linear models. In this paper, we describe a general framework for semiparametric spatial …