The phrase "a single estimate of" is correct and usable in written English.
It can be used when referring to one specific calculation or assessment of a value or quantity.
Example: "The report provided a single estimate of the project's total cost, which was significantly lower than previous projections."
Alternatives: "one assessment of" or "a sole evaluation of".
A point estimate is a value of a sample statistic that is used as a single estimate of a population parameter.
That seems to reflect a growing sense that climate sensitivity may have been overestimated in the past and that the science is too uncertain to justify a single estimate of future rises.If this does turn out to be the case, it would have significant implications for policy.
Ideally, with advances in CAD software, a nodule's grey scale and elastographic features could be analysed automatically and converted into a single estimate of its malignant risk.
We thus get a single estimate of SNR from the model, which allows us to compare different target altitudes via boxplots (see "Results" Section).
This paper studies upper bounds on the position error for a single estimate of an unknown target node position based on distance estimates in wireless sensor networks.
In order to calculate a single estimate of the respiratory rate, estimates from individual Kalman-filters must be fused in a manner that takes into account the uncertainty associated with each estimate.
While masking any potential differences in the impact from year to year, this formulation adds the convenience of providing a single estimate of the impact of the FMR for these outcomes.
From a different perspective, the identification problem in econometrics is the issue of having to solve for unique values of the parameters of the structural model from the values of the parameters of the reduced form of the model (i.e. a single estimate of the structural parameters from the reduced form parameters for each structural equation, c f r. Maddala 1992 3.
The third paper 'Upper bounds on position error of a single location estimate in wireless sensor networks,' authored by Gholami, Ström, Wymeersch, and Gezici, studies upper bounds on the position error for a single estimate of an unknown target node position based on distance estimates in a wireless sensor network.
Briefly, Kalman filter models combine so-called "noisy" data ― which is not completely precise ― into a single estimate of the underlying "signal" ― that is, what's actually happening.
Briefly, Kalman filter models combine data that are known to be "noisy" ― or not completely precise ― into a single estimate of the underlying "signal" ― that is, what's actually happening.
