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For the purposes of testing the equation we describe, output from the simulation is evaluated only with respect to the overall genomic similarity between two populations.
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When the researchers tested the equation in other arenas, it proved to be consistent.
Since u is a weak solution of (1.1), we test the equation with a test function (varphi= umin{vert uvert ^{2s}, m^{2}}), where (sgeq0) and (m>1).
However, since BMI added little to an equation that included just LDLc, and TG, we tested the equation 'ApoB100 = −33.12 + 0.675*LDL + 11.95*ln tg)' in the validation data-set.
The bactsimDF population simulator was designed to test the equations we developed to explain the evolutionary dynamics of sympatric microbial populations.
To test the equations derived for the N&B analysis and to test the sensitivity of the proposed method to parameters of the system (such as the number of molecules and their brightness and the number of frames that are needed), we simulated a system of particles diffusing in a box with a given diffusion coefficient.
Therefore, testing the equality of two correlated coefficients of variations is equivalent to testing the significance of the regression equation (11).
In the second part, we used SPSS AMOS 18 for testing the structural equation model.
I tested the models, Equation 3 and Equation 4, by fitting them to age-specific incidence data from different carcinomas.
Furthermore, the significance test and applicability test are adopted to test the regression equation.
We first tested the Venegas equation for the additional IAV pPAW and IAP relationship frequently used to describe a respiratory P-V curve [12].
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