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The statistical model has parameters whose values need to be estimated.
ROC curves comparing different degrees of knowledge about the opponent channel while the true opponent printing process model has parameters (σ = 40,m b = 40, and μ w = 160).
This Gaussian null model has parameters and, where μ ^ is equal to the mode of the kernel density estimate, and σ ^ is calculated using the following equation: σ ^ = 1 n − 1 ∑ i x i ≤ μ ^ x i − μ ^ 2 Potential enhancers that had a P value >0.05 were filtered, yielding a final set of 30,681 putative differential enhancers.
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The FIS model having parameters related to the least checking data model error is selected, when ANFIS contains the checking data and training data.
Preferred models have parameters that have some physiological or pharmacological rationale.
Often, these models have parameters which must be estimated using data from the real system.
The control-oriented models have parameters which are not constant over the whole operating range but are simple to parametrize.
Third, in addition, the models have parameters for the effects of the properties of the items on the response probabilities.
All the models had parameters and concentration values in the biologically observed range [ 6, 18, 20, 24] which are shown in Additional file 2: Table S1 and Table S2.
For large N, the highest scoring model often has parameters that are close to the maximum likelihood values.
There are different models according to the number of parameters used; the most general model has 22 parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com