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Performance was evaluated in estimating both farm-specific mean responses and mean animal response over all farms using sample sizes of 100 and 25.
Table 1 shows how the inhibitory LN input changed the performance of binary SVM classifiers, the distance of mean responses, and the mean variance of responses for all possible pairs of odors.
The darker line in each condition indicates the mean responses and light filled area the standard error.
For each curves, the darker line indicates the mean responses and the light filled area the standard error.
Excel file of mean responses and baseline firing rate of the different OSN classes of L.y-signata, T. domestica, P.siccifolium, and D. melanogaster.
The naive pooled approach produces imprecise estimates of mean responses and cannot provide estimates of between-subject variability (BSV), whereas the two-step approach produces good estimates of mean response but biased and imprecise estimates of BSV.
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Of particular interest is the estimation of the mean response and process variance.
Both are based on quite similar physical assumptions i.e. uncorrelated sources, mean response and high-frequency excitation.
Black lines are mean response and colored dashed or dotted lines illustrate interactions by showing response under high or low (90th or 10th percentiles, respectively) of other driving variables.
The second step focuses on comparison of statistical measures (failure probabilities, mean response and fragility) within a probabilistic earthquake engineering setting, using a stochastic ground motion model to describe the seismic hazard.
The noise, i.e. the difference between the signal (mean response) and individual responses, includes both adaptation and stochastic variability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com