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To check this, we fitted the HF Raman band with another PC model proposed by Campbell et al. [15] (with a Gaussian weighting function instead of sinc).
To do this we fitted Generalised Additive Models (GAMs) separately to counts of stems in eight diameter classes from 495 plots using explanatory variables representing human modification, environmental variation and natural disturbances.
To do this we fitted linear models in which the environmental variables were individually treated as response variables, and migratory strategy used as a predictor.
To do this, we fitted a generalized linear mixed model with binomial errors into the data.
In order to illustrate this we fitted a weighted linear model GCCB = 1.889 GCNCB - 90.923.
To do this, we fitted the first 9 s of data with a third-order polynomial function.
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To achieve this, we fit our state-space model to tracking data in a hierarchical Bayes framework.
To do this we fit a model of mean expected lifespan to our laboratory flask experiment (Methods: Environmental effects on foundress lifespans).
To test this, we fit the tuning curves to a standard receptive field model, a difference of Gaussians model [6], [34], and measured surround size.
To evaluate this, we fit all models adjusted for hemoglobin.
To do this, we fit the synthetic HA peptide data to a simple four-parameter logistic curve.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com