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Exact(29)
A study of the convergence and error is presented here.
The estimation of the state-matching error is presented using the linear matrix inequality (LMI) techniques.
In this paper, a method of determining this time, including the admitted estimation error, is presented.
A boundary conditions error is presented and its efficiency to translate structural parameters error is shown.
An evaluation algorithm of dynamic error is presented and used to evaluate the results of the dynamic simulation.
A combined error is presented as the fitness function to evaluate the search performance of the PSO algorithm.
Similar(31)
Table 1 Descriptive statistics (mean ± standard error) are presented for the administered psychometric tests/scales.
The mean with its standard error are presented next to each box plot.
Alternative sampling plans designed to address the risk of statistical classification error are presented.
Simulation results showing the relative significance of potential sources of estimate error are presented.
Margins of error are presented as standard errors of the means (SEM).
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CEO of Professional Science Editing for Scientists @ prosciediting.com