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The expected mean value and standard deviation of estimated fetal weight at a certain gestational age can be computed using these models.
Now we sort each { d j [ n], n = 1, 2,...} by their values, which are now depicted in figure 2. Note that a cumulative distribution function can be computed using these curves.
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The theoretical results are computed using these models.
Finally, BER is computed using these two values in the signal comparator.
The effect of a neighbor(s) on the end node is computed using these estimations.
Then the crossed-products of these features are computed; using these arrays, the tensor integral images A u ′ v ′ ( i ) and the second order integral images tensor B u ′ v ′ ( i, j ) are computed.
Random effects GLMs were computed using these regionally-averaged beta-weights.
New confidence interval boundaries are computed using these new cut-off values and all the individuals used for the first analysis.
Gene expression signals were computed using these probes.
End-diastolic volume, end-systolic volume and ejection fraction were computed using these analyses.
We then compute the Frobenius distances between the obtained matrices, and a Gaussian kernel is computed using these distances.
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