Sentence examples for degree of parameter from inspiring English sources

However, not all sensitive parameters were identifiable from experimental data due to a large degree of parameter correlation.

Parameters Proposed modified FGP technique (degree of parameter) FGP technique suggested by Lachhwani and Poonia (2012) (degree of parameter) 1 Simplicity (in terms of linear/non linear structure of FGP models, repetition of tolerance values, structure of membership function etc).

A certain degree of parameter interdependence in short-term flowback signals leads to ambiguity in fracture parameter inversion from measured single-tracer signals.

The degree of parameter dependency for different reflector dips is one of the most obvious insights in the anisotropy continuation problem.

The high degree of parameter correlation in these combined models means that restraints are required to ensure convergence and to maintain a physically reasonable model.

Applying matrix perturbation theory through a first order Taylor series expansion about the mean values of the uncertain parameters' conservative dynamic response bounds are obtained assuming a small degree of parameter uncertainty.

The influence degree of parameters change on piston output force F can be evaluated quantitatively and clearly by analyzing these two sensitivity indexes.

The average particle size of silica nanoparticles ranging 24 87 nm and surface area to ∼740.77 m2/g could be tuned in the factorial optimization, where the degree of parameters that influence the structural properties were investigated, combined with surface characterizations.

In our simulations different beam system ensembles are characterized by different values of the common system size and degree of disorder (parameter β), other parameters (density, material parameters, beam parameters) being kept fixed.

We complete our remarks by pointing out that the degrees-of-freedom parameter r and the tail parameter q would explain different types of fat tail behaviors existed in data.

where ν>0 is the degree-of-freedom parameter that controls the super-Gaussianity of Student's t distribution and σij,n is defined as (29).