Special issue – communications in statistics – theory and methods 4th stochastic modeling techniques and data analysis international conference (original) (raw)
Communications in Statistics - Theory and Methods
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This special issue of Communications in Statistics - Theory and Methods features selected papers from the Stochastic Modeling Techniques and Data Analysis (SMTDA2016) conference held in Malta. The twelve research articles cover a range of topics, including Bayesian modeling of temperature-related mortality, generalized estimating equations for mortality rates in Malta, multivariate joint models for student paths, and methods for measuring economic inequality. The contributions highlight advancements in statistical modeling, mortality analysis, and data-driven approaches for public health and social sciences.
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2018
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The academic success of students is a priority for all universities. We analyze the students' success at university by considering their performance in terms of both "qualitative performance", measured by their mean grade, and "quantitative performance", measured by university credits accumulated. The data comes from an Italian University and concerns a cohort of students enrolled at the Faculty of Economics. To jointly model both the marginal relationships and the association structure with covariates, we fit a bivariate ordered logistic model by penalized maximum likelihood estimation. The penalty term we use allows us to smooth the association structure and enlarge the range of possible parameterizations beyond that provided by the usual Dale model. The advantages of our approach are also in terms of parsimony and parameter interpretation, while preserving the goodness of fit.
Recent Advances in Univariate and Multivariate Models
Journal of Probability and Statistics, 2013
This volume constitutes the special issue of the Recent Advances in Univariate and Multivariate Models. First, the editors wish to record their thanks to all those who helped with both the selection and referring of papers of this issue. Seventeen papers were submitted to this special issue and only five accepted in this volume represent the contributed papers selected by the editors as suitable for publication.
Universita degli Studi di Milano-Bicocca Dottorato in Statistica
For a long time, before powerful and chip computing systems were available, the applied statisticians were able to deal only with relatively simple models. So the works of the econometricians, for example, were mainly based on linear models and normal distributions, for which simple analytical closedform solutions are available.
Bivariate logistic models for the analysis of the Students University “Success”
2012
We analyze the students' success at University by considering their performance in terms of both "qualitative performance", measured by their grade average, and "quantitative performance", measured by University Credits accumulated. To jointly model both marginal and association relationships with covariates, the analysis has been carried out by fitting a bivariate ordered logistic model (BOLM), in a nonparametric fashion, by penalized maximum likelihood estimation. The advantages of such model are in terms of parsimony and parameters interpretation, while preserving goodness-of-fit. The application regards an engineering student (ES) cohort from the University of Palermo.
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