The phrase "amount of between" is not correct and does not make sense in written English.
It is not usable because "amount" typically refers to a quantity of something uncountable, while "between" is used to indicate a range or a relationship involving two distinct entities.
Example: "The amount of between $50 and $100 is not clear."
Alternatives: "range of" or "sum of".
Now, pensioners are being asked to file new applications for retirement benefits, this time only to the amount of between 500 and 1,000 hryvnyas.
From equation (5), a small amount of between hospital variation, τ, will lead to a narrow IOR, whereas large τ2 leads to wider intervals.
The 95% confidence region and the 95% prediction region were plotted around pooled estimates to illustrate the precision with which the pooled values were estimated (confidence ellipse around the mean value) and to illustrate the amount of between study variation (prediction ellipse).
In addition, the 95% confidence region and a 95% prediction region around the pooled estimates were plotted to illustrate the precision with which the pooled values were estimated (confidence ellipse of a mean) and to show the amount of between study variation (prediction ellipse; the likely range of values for a new study) [ 16].
In addition, we plotted the 95% confidence region and a 95% prediction region around the pooled estimates to illustrate the precision with which the pooled values were estimated (confidence ellipse of a mean) and to show the amount of between study variation (prediction ellipse; the likely range of values for a new study).
Furthermore, around the pooled estimates, we also plotted a 95% confidence region and a 95% prediction region to illustrate the precision with which the pooled values were estimated (confidence ellipse of a mean) and to show the amount of between study variation (prediction ellipse; the likely range of values for a new study).
Depending on the amount of between-plot variation in parameter values, the trade-off between carbon stock and crop productivity can shift by a factor 2, even though both properties are directly related to area.
Linear discriminant analysis (LDA) (Zuo et al. 2006) is a supervised dimensionality reduction method by maximizing the amount of between-class variance relative to the amount of within-class variance (Nie et al. 2009; Yang et al. 2010).
Different metrics have been proposed for testing the presence and measuring the amount of between-study heterogeneity.
Minor differences were seen in the exact estimates of I2 but the categorization of the amount of between-study heterogeneity was largely similar.
After adjustment for internal biases that reflect lack in study quality, the pooled correlation was 0.00 (95%CI: −0.18, 0.19) and the amount of between-study heterogeneity decreased (I2 = 15%).
