The phrase "a value close to zero" is correct and usable in written English.
It can be used in contexts involving measurements, statistics, or mathematical discussions where a value is nearly zero but not exactly.
Example: "The experiment yielded a value close to zero, indicating minimal impact from the variable tested."
Alternatives: "a near-zero value" or "a value nearly equal to zero".
The Frob fund has denied reports that, under pressure from the eurozone's bailout funds, it is to give them a value close to zero.
If the t-statistic has a value close to zero, that means that Iowa doesn't have a statistically significant effect (above and beyond what we already know from the national polls).
Accurate predictions have a value close to zero.
In the smooth region, the switch function takes a value close to zero, while around the strong shock wave, it tends to one.
When the maximized modularity (Q_{mathrm{max}}) takes a value close to zero, the network has no statistically significant communities, unlike randomly connected networks.
A value close to zero means that the prediction model P i is practically useless, performing little better than a mere random guess.
Here, the fraction of unique functions Fu rapidly increases to a value close to one, regardless of the neighborhood radius.
It provides an indication of the ratio between open and closed reaction centres of photosystem II under the experimental irradiance level: a value of close to zero indicates that most of the reaction centres are open, suggesting light-limitation; a value close to one indicates that almost all reaction centres are closed, suggesting photo-inhibition.
A value closer to zero represents more evenly distributed incomes, whereas a value closer to one indicates that there are larger gaps between rich and poor.
A value closed to zero indicates that the point is far from the projection axe.
2, the entrance of these two observations, the first one being negative and the second positive, biases downwards the first-order sample cross-correlation, but when the first of these observations leaves the sample and only the positive outlier remains, ( r_{12}(1)) is again pushed to a value closer to zero.
