Numerous scientific and analysis problems involve integrating heterogeneous information that is multidimensional, multivariate, and time-dependent. To visualize this data in a 3D environment, we designed a visualization technique called multiple scale small multiples (MSSM), in which each view behaves like an environment in itself. Aggregated multiple views can also form single view visualizati...

In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...

Abstract. Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) leaching from intensive N fertilization and management on agricultural fields. The distribution fate nitrate in are primarily governed by geological, hydrological geochemical conditions the subsurface. Therefore, we propose a novel approach modeling both geology redox architectures s...

One of the main issues in the application of multiple-point statistics (MPS) to the simulation of threedimensional (3D) blocks is the lack of a suitable 3D training image. In this work, we compare three methods of overcoming this issue using information coming from bidimensional (2D) training images. One approach is based on the aggregation of probabilities. The other approaches are novel. One ...

in the present work, a meshless method called finite point method (fpm) is developed to simulate the solidification process of a continuously cast steel bloom in both primary and secondary cooling regions. the method is based on the use of a weighted least-square interpolation procedure. a transverse slice of the bloom moving at casting speed is considered as the computational domain and two di...