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Fishing populations like most ecosystems should be analyzed using complexity tools.
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Questions are analyzed using Axiomatic Design Theory and Complexity Theory.
The probability that a non-outlier is misidentified by our algorithms is analyzed using bounds based on Rademacher complexity.
Temporal beat-to-beat RTmax and RToff variability were analyzed using traditional summary statistics, a complexity measure (approximate entropy [ApEn]), and the short-term scaling exponent (alpha1).
Library complexity was analyzed using Picard [ 32] and rRNA reads were eliminated prior to the analysis.
Data from the application stage were analyzed using a 2 × 2 factorial design, with rule complexity and analogical distance as factors.
Data on the complexity of infections, expressed as percentage, were analyzed using the chi-square (χ2) test.
Images were analyzed using Gap Light Analyzer41.
Raw data was analyzed using Clampfit 10.4.
Data were analyzed using one-way ANOVA.
Data were analyzed using Prism 5.0 (GraphPad Software).
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