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Therefore, average mean square error (MSE) of prediction for K methods is computed as below: E avg.
Specifically, under H0, for each given δ1 = δ2 = δ, the P-value of the observed statistic T is computed as below.
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Consequently, the total power consumption of a switch Ω switch can be computed as below: begin{array}rcl@ &Omega_{switch} = Omega_{s} + N_{p}*Omega_{p} end{array} (8).
A progressively improving estimate of h avg is computed as explained below.
For a given measurement,y1 and based on the current estimate of the parameter, the expected value of x1 is computed as given below: x 1 k + 1 = E x 1 | y 1, p k (26).
Finally, the damage index of the yth story using the weighted beam and column damage index of each story is computed as given below: D y = ( D y B ) 2 + ( D y C ) 2 D y B + D y C (12).
For a given measurement,y1 and based on the current estimate of the parameter, the expected value of x1 is computed as given below: x 1 k + 1 = E x 1 | y 1, p k (26) This implies x 1 k + 1 = y 1 1 / 4 1 4 + p k 2 (27) Maximization step (M Step): From the expectation step, we use the data which were actually measured to determine the maximum likelihood (ML) estimate of the parameter.
For a set of n G genes, the inference score (Y) is computed as shown below (Li and Liang 2009): Y = –ln[ P G associated with both C and D| k, n G) P(no other G connects C and D| k, n G)].
In all graphs presented below, each data point is computed as the average over 24 simulation runs with a confidence level of 90%.
These P-values are obtained according to: An aggregated score for each cluster from the significant P-values (i.e., those below 10-2) is computed as follows: s0 = ∑-ln p(x; N, A, n) The significance of this score is established by simulation.
An overall score is computed as a weighted average of the two terms as shown below.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com