Abstract There are a lot of uncertainties in the water resources system, which makes allocation plan very risky. In order to analyze risks under uncertain conditions, new methodology called stochastic simulation-based risk assessment approach is developed this paper. First, main hydrological variable fitted by proper probability distribution. Second, suitable two-stage programming constructed o...

The purpose of this study was to evaluate the time-dependent probability and risk factors of pancreatogenic diabetes mellitus (PDM) in patients who underwent minimally invasive subtotal distal pancreatectomy.Changes in glucose metabolic consequence of 34 patients (laparoscopic: 31, robotic: 3) who underwent surgery from December 2005 to December 2014 were estimated by assessing impaired fasting...

Fuzzy probabilities have been widely used in the areas of risk assessment and decision making. Here, we propose a system based on fuzzy probabilities for assessing the intensity of pedestrian collisions and levels of injury. The proposed approach uses possibility probability distributions for demonstrating fuzzy probabilities. A composition of possibility probability distributions (fuzzy probab...

effects of chromium nano particles (nanocr) on performance and meat quality of japanese quail under physiological stress was determined by  using 360 birds in a completely randomized design with six treatments, four replicates and 15 birds per each, during  17- 35 d of age. the tratments were negative control (non-stressed), and five groups under physiological stress which fed on diets suppleme...

We establish Nagaev and Rosenthal-type inequalities for dependent random variables. The imposed dependence conditions, which are expressed in terms of functional dependence measures, are directly related to the physical mechanisms of the underlying processes and are easy to work with. Our results are applied to nonlinear time series and kernel density estimates of linear processes.

We show how powerful algorithms recently developed for counting lattice points and computing volumes of convex polyhedra can be used to compute probabilities of a wide variety of events of interest in social choice theory. Several illustrative examples are given.