The Mathematics of the Uncertain

The Mathematics of the uncertain.- Using Mathematica to calculate shortest con?dence intervals.- An optimal transportation approach for assessing almost stochastic order.- An alternative to the variation coef?cient.- Nonparametric mean estimation for big-but-biased data.- Band depths based on multiple time instances.- On the combination of depth-based ranks.- A Bayesian network model for the probabilistic safety assessment of roads.- The spiking problem in the context of the isotonic regression.- Estimation of the inter-occurrence time between events from incomplete data.- Modelling dynamic hotel pricing with isotonic functions.- On multistage stochastic mixed 0-1 optimization with time-consistent stochastic dominance risk averse management.- Bivariate copula additive models for location, scale and shape with applications in Biomedicine.- Domain mean estimators assisted by nested error regression models.- Robust approaches for fuzzy clusterwise regression based on trimming and constraints.- Robust morphometric analysis based on landmarks.- Smoothing-based tests with directional random variables.- Asymptotic behavior of fractional blending systems.- Multiple hypothesis tests: A Bayesian approach.- d -Records observations in models with random trend.- Recent developments and advances in joint modelling of longitudinal and survival data.- Long-term survival after abdominal aortic aneurysm repair.- Some comments on stochastic orders and posets.- Optimal experimental design for model selection: A partial review.- A statistical analysis of the treatment of type 2 diabetes in the presence of chronic kidney disease in patients hospitalized for heart failure.- A diagnostic test approach for multitesting problems.- The length-time bias in tourism surveys.- Detecting change-points in the time series of surfaces occupied by pre-de?ned NDVI categories in continental Spain from 1981 to 2015.- Choice functions and rejection sets.- Mathematical modeling in biological populations with reproduction in a non-predictable environment.- Field substitution and sequential sampling method.- Working with (too) few samples.- Estimation of the Owen value based on sampling.- The ß -gradient for testing probability pro?les.- Mixtures of Gaussians as a proxy in hybrid Bayesian networks.- Sublinear expectations: On large sample behaviours, Monte Carlo method, and coherent upper previsions.- A non-iterative estimator for interval sampling and doubly truncated data.