Suggestions(5)
Exact(7)
This estimation is performed by using the NMMSE estimator principle.
This estimation is performed 200 times to obtain the estimates (widehat {Q}_{1},dots,widehat {Q}_{200}), using (tilde {N}=2) particles for PaRIS algorithm, and M=30 replications for the Monte Carlo approximation (widehat q_{k}) of each q k.
This estimation is performed for all available.
This estimation is performed under the assumptions of steady state and the isotropic spin angular momentum.
This estimation is performed thanks to a subspace-based algorithm called subspace-based line detection (SLIDE).
This estimation is performed on the left and right images independently.
Similar(53)
This estimation was performed with different packages of the R freeware.
This estimation was performed by adjusting a parametric survival model to our data, using the survreg function [21] in R. The parametric model we used has the same fixed and random factors than the non-parametric model we described above.
This estimation was performed for all combined cases and then stratified by gender, age, and urbanicity.
This estimation was performed separately for each experiment calculation of experiment-specific rates is a built-in feature of our tool.
This estimation was performed using the following parameters: number of populations assumed to be two, 30,000 burn-in period, and 100,000 Markov chain Monte Carlo replications after burn-in.
Write better and faster with AI suggestions while staying true to your unique style.
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