A stochastic method for simulation of carrier transport in semiconductor nanostructures is presented. The Wigner formulation of quantum mechanics is used. The method which aims at evaluation of mean values of physical quantities, is obtained by following the rules of the Monte Carlo theory. A particular numerical feature of the method are statistical weights with inverse signs which can achieve...

In this paper, we propose a new ridge-type estimator called the new mixed ridge estimator (NMRE) by unifying the sample and prior information in linear measurement error model with additional stochastic linear restrictions. The new estimator is a generalization of the mixed estimator (ME) and ridge estimator (RE). The performances of this new estimator and mixed ridge estimator (MRE) against th...

Recent studies have shown that Bayesian Neural Networks (BNNs) are powerful tools for providing reliable hydrologic prediction and quantifying the prediction uncertainty. The reasonable estimation of the prediction uncertainty, a valuable for decision making to address water resources management and design problems, is influenced by the techniques used to deal with different uncertainty sources...

In the present study, the kinetics of biodiesel production through transesterification of Brassica carinata oil with methanol in the presence of Potassium Hydroxide is investigated by kinetic Monte Carlo simulation. The obtained results from simulation agree qualitatively with the existing experimental data. The kinetics data for each step of suggested mechanism are confirmed by simulation. By ...

The design of control charts in statistical quality control addresses the optimal selection of the design parameters such as the sampling frequency and the control limits; and includes sensitivity analysis with respect to system parameters such as the various process parameters and the economic costs of sampling. The advent of more complicated control chart schemes has necessitated the use of M...