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Shoukri et al. [ 11] derived the values of k and n that allocate the sample resources optimally and minimize the variance of the estimated ICC under cost constraints.
In order to supply quantitative evidence of all selected studies and minimize the variance of the summary SMDs with 95% CI, we utilized a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method) of individual study results when data from independent studies could not be combined.
In order to supply quantitative evidence of all selected studies and minimize the variance of the summary ORs with 95% CI, we conducted the current statistical meta-analyses by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method) of individual study results under the situation where data from independent studies could be combined.
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In particular, we explore widely adopted approaches such as the continual reassessment method and minimizing the variance of the estimate of an MTD.
Considering the learned encodings from a statistical view by modeling the data points via ridge regression and minimizing the variance of the parameter, A-Optimal Non-negative Projection (ANP) improves the performance of NMF.
Fig. 3A shows the average projection of LFP data in the 0.3 4 Hz sub-band using a spatial filter that maximized the variance for the 90 deg direction data and minimized the variance for the 270 deg direction data.
In order to supply quantitative data from all of the selected studies and to minimize the variance of the summary SMDs and 95% CI, we performed the current statistical analysis by utilizing a random-effects model (DerSimonian and Laird method) or a fixed-effects model (Mantel-Haenszel method).
We recruited amateur baseball players as subjects because MNS activity is known to be affected by the subjects' experience of the observed action [10] [12], and we wanted to maximize the MNS activity during observation and to minimize the variance of this effect in our experiment.
Optimum ALTSPs which satisfy the producer's and consumer's risk requirements and minimize the asymptotic variance of the test statistic for deciding the lot acceptability are obtained.
The overlap weights are bounded, and minimize the asymptotic variance of the weighted average treatment effect among the class of balancing weights.
In this new research, the system design process is formulated as a multiple-objective optimization problem to maximize an estimate of system reliability, and also, to minimize the variance of the reliability estimate.
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