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The obtained estimates are averaged using the α trimmed operator.
The prediction error estimates are averaged over 15 different partitions into 'oracle' data and data sample.
The error estimates are averaged over 6 different partitions into 'oracle' data and data sample).
The data splitting process is repeated many times and the cross-validated error estimates are averaged over all data splits.
The estimates are averaged across the total sampled area at each of the study sites, but are not spatially stratified within each study area.
The variances σ ε i, j 2 are estimated by using a Monte Carlo technique in which the variances are computed for several normalized noise images and then the estimates are averaged.
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The MF radar 2-min wind estimates were averaged to produce hourly averages to match the meteor radar hourly averaged estimates.
Power estimates were averaged across trials.
The 10 performance estimates were averaged to yield an overall performance estimate of the model.
They were moderate when estimates were averaged over 40 marker intervals (r = 0.61-0.64, Table 1).
Sleep/wake estimates were averaged weekly over the entire recording period.
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