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Convergence estimates seems to be conservative according to our numerical experiments.
The observed difference between the IRT and CTT estimates seems to be dependent on the manipulated factors.
Curiously, the error in ancestry estimates seems to have a more balanced behavior regarding the inferences of the different ancestries in scenarios of admixture (using AA-genomes).
On the other hand, the lack of statistical significance in the ordered logit estimates, seems to suggest that, while age can be a significant factor in explaining the awareness of Internet for health information, it is not significantly explaining the intention to use doctor-rating websites once subjects are made aware of their existence.
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Normalized misfits are close to unity for all subsets of data, except for Swarm F data for which a priori error estimates seem to be over-estimated.
One activist put the number at 43, while another said 65, though the estimates seemed to be guesswork.
Four years later, after much soul-searching from the IMF about why it underestimated the costs of austerity, estimates seem to be converging on a multiplier of … about 1.5.
Our rough estimates seem to jive with previously released numbers.
Most notably, the estimates seem to be robust against departures from normality.
Moreover, the UK estimates seem to fall outside the 90% confidence bands estimated from Spain.
According to some other views, these estimates seem to be far conservative.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com