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where is the fluctuating component in, an autoregressive (AR) process coefficient of, and mutually uncorrelated white noise processes.
The common dynamic process coefficient, which is the term introduced by this estimation approach for dealing with cross-sectional dependence, has also statistical significance.
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It is worth noting that the P th-order linear prediction coefficients A H ( p ) p = 1 P are identically equal to the AR(P) process coefficients.
These can be attributed to the partitioning and process coefficients derived in experimental studies and to the model set-up that is designed to calculate the exposure concentrations.
Three different PTAT currents are generated; two from on-chip resistors with different temperature and correlated process coefficients, and the third using Bandgap circuit.
The model can be used for systems with constant as well as nonconstant process coefficients by using inhomogeneous Markov chains in the latter case.
The application is process damping coefficient identification in milling.
From the aspect of compression process lubrication coefficient and friction work were the evaluated response variables.
Results show a significant reduction in the number of experiments required for process damping coefficient parameter determination.
By fitting to the experimental data, important parameters of the release process (diffusion coefficient, sticking time, …) are extracted.
The updated distribution of the stability boundary is used to determine the posterior process damping coefficient value.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com