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Heterozygosity for each marker within each ancestral component was estimated from the.P file.
The mean heterozygosity for each ancestral component was estimated by averaging heterozygosity across all markers.
Sensitivity of each component was estimated using a stochastic scenario tree model of the surveillance process as implemented.
The longitudinal elastic modulus of the crystalline component was estimated to be 44 GPa from the X-ray diffraction measurements.
A scenario tree representing the pathways by which infected animals could be detected was developed and the Se of detection in each surveillance system component was estimated.
The natural/biological component was estimated from measurements acquired in areas of the South Pacific with extremely low ship traffic20 and is corroborated by data acquired in other regions of the world's oceans21,22.
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The linear component is estimated based on the differences of observations and the functional component is estimated using a multivariate Nadaraya Watson kernel smoother of the residuals of the linear fit.
Afterwards, the instantaneous frequency of each component is estimated.
The low energy component is estimated from the Maxwellian fit described in Section 3.1.
Tectonic component is estimated using leak-off or microfrac tests conducted in the field.
The overall Asian component is estimated to be approximately 4%.
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