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Exact(1)
Repeat Steps 3 through 5 to obtain the expected number of record pairs m(Y d,M d ) by substituting the parameter estimates of λ's of the chosen model into Equation (3) with appropriate interactions instead of Equation (1) until no large correlation residuals are apparent.
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34 CAVI values will be automatically calculated by substituting the stiffness parameter ß in the following equation to detect the vascular elasticity and the cardioankle PWV: stiffness parameter β=2ρ×1/(Ps Pd)×ln (Ps/Pd)×PWV, where ρ is the blood density, Ps and Pd are SBP and DBP in mm Hg, and the PWV is measured between the aortic valve and ankle.
CAVI values will be automatically calculated by substituting the stiffness parameter β in the following equation to detect the vascular elasticity and the cardio-ankle PWV: Stiffness parameter β = 2ρ x 1/(Ps –Pd) x ln (Ps/Pd) x PWV, where ρ is the blood density, Ps and Pd are SBP and DBP in mmHg, and the PWV is measured between the aortic valve and ankle.
CAVI values were automatically calculated by substituting the stiffness parameter β in the following equation to detect the vascular elasticity and the brachial ankle PWV: Stiffness parameter β = 2ρ × 1/ (Ps –Pd) × ln (Ps/Pd) × ba-PWV, where ρ is the blood density, Ps and Pd are SBP and DBP in mmHg, respectively, and the ba-PWV is measured between the aortic valve and the ankle.
As we previously mentioned, this is the value obtained by substituting the model parameter values in the expression given by Eq. 15, even though this equation was derived for the two-dimensional system modeled by Eqs.
The distribution functions can be obtained by substituting the estimated parameters into the GPD formula.
See Appendix B. Remark 3. By substituting the appropriate parameters for for each scheme into (30), we observe that Case 2 does not ever materialize for schemes I, II, III.
Therefore, the relevant MSE can be calculated by substituting the waveform parameters {α = 0, β = 0, θ = ‐ π/4, ϑ = 0} and {α = − π/2, β = 0, θ = − π/4, ϑ = 0}, alternatively, into Algorithm 1 with the increase of observation samples and without optimal polarization search.
This is done by substituting the rate parameters that optimize the likelihood function in the transition probability matrix P t) (refer to the Methods section for the definitions), where t is the length of the branch.
Substituting the parameter fλ by Coriolis parameter f, the gradient height zg during typhoons can be predicted by the same formula as that used during non-typhoon climates.
The adaptive versions of CG-PGLRT detector are then obtained by substituting the unknown AR parameters with their estimates based on the training signals only.
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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