Browsing by Author "Castro, Mario de"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- ItemBayesian inference for the pairwise probability of agreement using data from several measurement systems(Taylor & Francis Inc, 2021) Castro, Mario de; Galea Rojas, Manuel JesúsThis article deals with Bayesian inference in the comparison of measurement systems. Agreement between two systems can be evaluated using data from several measurement systems and using only data from the two systems being compared. With a measurement error model for replicated observations and the probability of agreement to compare measurement systems, we develop methods to compare measurement systems with either homoscedastic or heteroscedastic measurement errors under the Bayesian paradigm via Markov chain Monte Carlo methods. A graphical tool is described to check model adequacy. The methodology developed in the article is illustrated using a real dataset and through simulations.
- ItemInfluence Assessment in an Heteroscedastic Errors-in-Variables Model(TAYLOR & FRANCIS INC, 2012) Galea Rojas, Manuel Jesús; Castro, Mario deThe main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential influential elements and also to quantify the effects of perturbations in these elements on some results of interest. The approach is illustrated with data from the WHO MONICA Project on cardiovascular disease.