Sentence examples for numerical estimation method from inspiring English sources

The Laplacian numerical estimation method was used for parameter estimation.

We do not permit α<0.2 since numerical estimation methods are unreliable at this extreme of heavy tails [ 33]; if a triangular rather than uniform prior is selected then its maximum is set equal to 2. We use an inverted gamma distribution for our prior on c, though of course in principle the stable model accommodates any reasonable priors that maintain 0< α≤2 and c>0.

Since numerical estimation methods are unreliable under extremely heavy tails (i.e. α<0.2) [ 33] we apply flat or triangular priors to the index of stability on the domain 0.2< α≤2, and a loose inverse gamma prior on the scale parameter which has P r(c→0)→0 (see section on Choice of Priors below).

In this paper, a numerical isotherm estimation method based on neural networks is proposed.

This constitutes a problem because the estimation method used requires numerical values for all individuals.

The central point of our method is the numerical estimation of the primary distribution required to achieve the desired total distribution.

The stochastic approximation expectation maximization method with importance sampling as implemented in NONMEM was used to obtain the estimates of standard errors for the biological models in our analysis, because of numerical difficulties with the first-order conditional estimation method.

Numerical simulations illustrate the effectiveness of the proposed estimation method for a four-dimensional AD model with uncertainties associated with unmodeled dynamics and disturbances in the inflow composition.

Properties of the proposed nonlinear estimation method are tested and validated through numerical simulations.

If there is a structural model-misspecification there may not even be a unique global minimum and if it exists it may be far from 0. To assess the situation for our LP model and parameter estimation method we conducted a set of numerical experiments in which a slightly changed parameter set was readjusted using the parameter estimation procedure.

In this section, a numerical example is used to illustrate the effectiveness of proposed fault estimation method.