Sentence examples for based on probability functions from inspiring English sources

A dose dependent mathematical model representative of this hypothesis, based on probability functions with meaningful parameters, is applied.

Computer simulations results are compared to theoretical predictions developed from a macroscopic kinetic description based on probability functions emulating the classical mass balance equations.

In this micro-simulation model, women who had a chance of developing breast cancer and of death were followed up every year, based on probability functions.

The assumptions of the model were randomly modified based on probability functions described in Tables 1 and 2. In the base case over the 100 first days of prophylaxis, the IFI per patient in the SAT group was 0.11 versus 0.05 in the posaconazole group (Table 3), i.e. posaconazole avoided a mean of 0.06 IFI per patient.

The third class of curve models is based on probability density functions (pdf), which are characterized by int_{-infty}^{infty} f(x) dx = 1 (27).

The upstream GHG emissions arising from the production of the fuels are then quantified, with consequent uncertainties assessed using Monte Carlo analysis based on probability distribution functions for critical input parameters.

Approaches based on probability density functions (PDF) are a natural choice for the simulation of high-speed and supersonic turbulent reacting flows due to their ability to represent chemical sources in closed form.

To fully address this issue, in this work, two regional moment-independent importance measures, Regional Importance Measure based on Probability Density Function (RIMPDF) and Regional Importance Measure based on Cumulative Distribution Function (RIMCDF), are introduced to find out the contributions of specific regions of an input to the whole output distribution.

In other words, this paper proposes a method for a near-optimum, low-complex vector quantizer design based on probability density function discretization.

The method combines the non-equilibrium model for scalar dissipation with the conditional moment closure based on probability density function Beta (the Beta PDF).

Therefore, a practical method based on probability distribution function is proposed which performs all the data processing in time-domain for the purpose of crack detection in beam-like structures.