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Since global stability is guaranteed under some deviation of the current solution related to the limiting one, which is considered as nominal, the stability is robust against such errors for certain tolerance margins.
Data were considered as nominal or quantitative variables.
Given the large number of prespecified secondary efficacy variables evaluated at multiple time points during the study, the P values for all secondary efficacy variables should be considered as nominal, as no adjustments were made for multiple comparisons.
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During this design on simulation level, parameter values estimated from preliminar experiments are considered as the nominal values.
The optimum of the subspace optimization is sought, which is considered as the nominal starting point of next iteration.
At the nominal 0.05 level and 5000 simulations, we expect the simulated type I error rate to be between 0.044 and 0.056 955% confidence interval), and any procedure with type I error rate below this range will be considered conservative, above this range will be considered liberal, and within this range will be considered as having the nominal type I error rate.
The latter elements are considered as attributes of declarative nominal clauses, whereas imperative, interrogative and verbal clauses are considered themeless.
In our previous work [17], a continuous dynamic model including the DC motor dynamics has been derived for the robot by using an average contact radius (i.e., ({L_0} = {({D_{mathrm{in}}} + {D_{mathrm{out}}})}2)), while the resulting parameter errors are considered as perturbations to the nominal dynamic model.
Hence, when standard multinomial discrete-outcome modeling techniques such as multinomial probit and logit approaches are used to model the categorical data set by considering them as nominal, it often results in inaccurate and biased outputs.
Seven possible nominal variables are considered as candidates to be the anchor or target for monetary policy.
The inputs in every step are deemed constant parameters, and the method could be considered as a general method for solving nominal, redundant, and insufficient inverse problems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com