Sentence examples for using a probability density from inspiring English sources
Snow is algorithmically grown on the mountain using a probability density function which takes into account the height of the point and its slope.
The latter is modeled using a probability density function while the dependence between the design variables peak discharge and hydrograph volume is modeled using a copula.
In the NO chemistry model, the chemical reaction rates for thermal and prompt NO were statistically averaged using a probability density function.
The model describes the microstructural properties of a fibrous matrix using a probability density function, and enables study of their mechanical properties.
It is shown how simple periodic motions can be identified by using a probability density approach and possible future research is highlighted.
The upper insertion in Fig. 6a shows the diameter distribution of Fe3O4 NP, obtained in experiment by statistical processing (a program Get Data Graph Digitizer 2.24) of TEM images of initial magnetite (1), and lognormal diameter distribution (2), calculated for the same ensemble using a probability density function, similar to [11].
The proposed surface runoff generation algorithm uses a probability density function to represent the spatial variation of pothole storages and assumes a unique relationship between storage and the fractional contributing area for runoff (and hence amount of direct runoff generated) within a grid cell.
El-Borai [5 7] used a probability density function to obtain the solutions to Cauchy problems for different fractional evolution equations.
When moving agents are located at a distance r>r switch from an attractive area, it is proposed to use a probability density function (PDF) to describe the agents' velocities until they start reducing their speeds due to a near range of interactions effect previously explained in Section 3.1.
The use of a probability density function is particularly gainful due to its ability to converge to the underlying function of the data with only limited training data available.
A new denoising algorithm based on directionlet transform using a Cauchy probability density function (PDF) is proposed to remove speckle noise.
