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The maximum likelihood technique provides estimates for the probability of an outcome for each of the response variable.
The most influential factor on each of the response was identified using the analysis of variance (ANOVA).
Closed-form expressions for the components of the above integral which generates each of the response samples have been developed and given in Appendix-1.
Based on experimental data and using model selection techniques, a mathematical model has been deduced for each of the response variables herein presented.
POLR analysis models the effects of predictor variables on the probabilities of each of the ordinal response levels and assumes that the effect of each of the predictor variables is the same for each of the response levels.
Peralta et al. (1991b) developed deterministic distributed parameter Simulation/Optimization computer models for each of the response matrix (RM) and embedding (EM) approaches for computing maximum steady-state groundwater extraction strategies in a hypothetical confined aquifer.
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Contour and perturbation plots were drawn for each of the responses.
The mathematical model for each of the responses has been developed to predict the mentioned response criteria.
Initially, each of the responses is stiff and linear but evolves to nonlinear behavior close to a strain of 0.025.
From each of the responses to the OKS, we calculated overall patient perceived pain and function scores (Table 1).
This is in contrast to the exact-target and target-absent conditions that entail unique responses, which each occur with a higher incidence than each of the responses types in the target-present trials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com