Potential utilization of the absolute point cumulative semivariogram technique for the evaluation of distribution coefficient

A risk analysis model for radioactive wastes

“…Therefore, for the spatial distribution model of 40 K a waste distribution map is generated based on the Kriging methodology. The details about Kriging and variogram methodology are already widely given in literature [28,29]. The occurrence of Weibull probability values in the last column in Table 2 is used to draw Kriging map.…”

Monte Carlo simulations and forecasting of Radium-226, Thorium-232, and Potassium-40 radioactivity concentrations

“…Modelling a single variable is both easy, but it has some difficulty depending on the model type. It may seem easy, because there is one variable to interpret, but it may be very difficult to represent one variable on a mathematical and statistical bases for its stochastic structure characteristics determination [24][25][26][27][28]. The MCSs and the mathematical models based on ARIMA (auto regressive integrated moving average) methodology are proposed in order to predict the future concentrations of such radionuclides.…”