The phrase "deviation in terms of" is grammatically correct and usable in written English.
You can use it when you want to talk about a deviation from some expected or accepted way of doing something. For example, "The company has seen a deviation in terms of their sales figures this year."
He writes: "Moody's negative outlook for Vodafone reflects the weakness of the company's credit metrics for the A3 rating category, with no headroom for deviation in terms of operating performance or for further debt-financed acquisitions.
Especially within the construction industry, there's a huge deviation in terms of the quality of the companies you work with.
Numbers in parentheses represent one standard deviation in terms of least units cited.
Tables 1 and 2 indicate that images reconstructed by the proposed algorithm have less deviation in terms of sharpness from the original value.
In principle, any deviation in terms of contrast and tumour shape may affect recovery, which in such cases would call for more aspects than volume to be investigated [46, 47].
Also, we see that the mean deviation for a beta random variable (X sim beta p,q)) is given by [14] mathit{MD}(X)= frac{2p^{p} q^{q}}{beta p,q)(p+q)^{p+q}} and, for a k-beta random variable (X simbeta_{k}(p,q)), mean deviation in terms of k is given by mathit{MD}_{k}(X) = frac{2(frac{p}{k})^{frac{p}{k}}(frac{q}{k})^{frac {q}{k}}}{beta_{k}(p,q)(frac{p+q}{k})^{frac{p+q}{k}}}.
Once the community variables are added into the model, the effect falls slightly but still remains over twice the OLS estimation; an increase in household per capita consumption expenditure by 1,000 rupees increase child health by 0.410 standard deviations in terms of stunting.
As before, once the community variables are added into the model, the effect falls slightly; the overall effect however is much larger than per capita consumption expenditure with an increase in wealth index by one unit increasing child health by 2.38 standard deviations in terms of stunting.
Its deviations in terms of content and writing are intriguing in terms of adaptation, as it manages to capture the wicked spirit of the books while making departures that expand on the canon.
The remainder of the algorithm proceeds similarly to standard evolutionary procedures, with the only major deviation occurring in terms of offspring evaluation, as is described next.
It can be summarized from the above results that 0.4 is an optimal trust deviation threshold in terms of detection rate and false positives.
