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Nonlinear kinematic constraint equations are developed using a generalized computational method for spatial kinematic analysis.
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Pseudorandom uniform numbers were generated using a generalized feedback shift register to avoid cycling issues.
Treatment differences were analyzed using a generalized linear mixed model.
Effects were tested using a generalized linear mixed effects model with a Poisson error distribution (log link).
In this paper, we offer an alternative semantic framework using a generalized ultrametric that overcomes these limitations.
Data were analyzed using a generalized logit model.
Analyses were performed using a generalized estimating equations approach.
Comparison of automatic features and subjective features was performed using a generalized regression model and the P-value was obtained.
Here, we characterize the stimulus-response function of auditory neurons using a generalized linear model (GLM).
using a generalized additive mixed model (GAMM).
Baseline HDL interactions were tested using a generalized linear model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com