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This is not a description of confidence I could have gathered through academic study of the subject.
Only by having lived with very "low confidence" (that is, endless preoccupation with others and their imagined opinions of me) and struggling daily with self-assertion, only by stripping the word "confident" itself of preconceived assumptions and smashing the concept with the mental Hammer of Truth, could I write this more accurate description of confidence.
In the following section, a short description of confidence regions is included because they are closely related to soft information: Some of the confidence regions rely on the approximate covariance matrices mentioned above.
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The problem starts with the Sutton Trust's description of sociability, confidence and assertiveness as "extroversion".
In the context of LotR, Hutchison's description of the confidence that McLintock's companionship gave him in the darkness of a dangerous night finds a special resonance in Tolkien's tale of a journey into a land of unabated darkness.
We believe it to be the first description of procedural confidence levels in UK doctors at all grades.
Here we introduce a Markov chain Monte Carlo (MCMC) parameter estimation strategy which allows a full description of the confidence regions of the estimated metabolic fluxes, including correlations and nonlinear dependencies between parameter estimates.
It adds several contributions, including a formal description of d-Confidence, the clear definition of its evaluation criteria, a comparative study of d-Confidence w.r.t. to different base classifiers, a systematic evaluation of the d-Confidence strategy against its baseline criteria over tabular and textual data with a main concern in the identification of rare instances in imbalanced data.
The most useful description of variance is confidence limits since these take into account the sample size.
A review was considered to have applied statistical methods to make an indirect comparison when a quantitative summary of the indirect comparison of two interventions was produced or a description of the overlap of confidence intervals was given.
We have applied a Wilcoxon-test to the results and metatags + passage was significantly superior to description + metatags with 99%% of confidence level and resulted in higher MAP values when compared to description + passage, although with only 90%% of confidence level.
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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