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For the computation of the sample moments and CV e, 106 samples were generated in each of the homogeneous and heterogeneous compound channel cases.
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The convergence of each analysis was examined by the trace analyses including the computation of the effective sample size (ESS) of each estimated parameter.
We now consider the computation of the probability of a sample of multilocus haplotypes.
In this section, we compare two algorithms for the computation of pore volume in order to determine the accuracy of the applied methods to be adopted in the computation of the properties on all the samples.
For the computation of the Bayes information criterion we considered the sample size to be equal to 130 (that is, the number of patients).
The computation of the principal components relies heavily on the (sample) covariance matrix Σ of the data X, which is the row-wise matrix composed of the n observations x i.
The derived condition also unifies the computation of the frequency response gain of sampled-data systems and the induced norm of state-space compression operators.
However, the computation of the mechanical properties for rock samples from their digital counterparts only became possible in very recent years because of the rapid rise of computer power.
The advantage of this method, behind its simplicity, is that it allows the computation of the discovery probability of a target sample for quite large search spaces.
First, this allowed us to assess the sampling bias underlying the computation of the NPC.
However, the computation of the (finite) satisfaction domain is made by sampling the formula space rather than by constraint solving.
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