The phrase "a unique estimation" is correct and usable in written English.
It can be used when referring to a specific or one-of-a-kind assessment or evaluation of something.
Example: "After analyzing the data, we arrived at a unique estimation of the project's potential success."
Alternatives: "a distinct assessment" or "a singular evaluation."
From (51), and using (20), we have H ̄ ̂ T = ( S ◇ C ) T ‡ Y ~ 3. On the other hand, if Ra unique estimation of H ̄ is not guaranteed, although we can still estimate S, C and G from (49), (50), and (51), respectively.
Many researchers have performed impact localization using multiplexed fiber Bragg grating (FBG) sensors for a unique estimation of impact position.
Several possible minimal and near-minimal instrumentation set-ups which guarantee a unique estimation of the unmeasured mode shape components from the measured components are identified for various experimental designs.
We observed that a unique estimation of all four fluxes would be possible only if the mass isotopomers of sedoheptulose 7-phosphate were additionally measured.
Put simply, if two parameters affect the prediction of data in a similar way, their unique estimation will be less efficient.
A unique DOA estimation algorithm for the EMVS, the vector-cross product algorithm, has been proposed in [5] and been advanced in [6, 7] along with various eigenstructure-based direction-finding schemes [8 10].
The objective of this work is to determine the optimal sensor in a hot wire probe set up, for accurate and unique estimation of the parameters involved in conduction heated foods.
Obviously, unique estimation can also be achieved when a combination of the 3 output equations are used (i.e., simultaneously fitting the model to two or three datasets from [ 55] and [ 61]), as was performed in [ 49].
This corresponds to the minimum number of data sets required for unique estimation of all parameters in the model.
All these constraints, combined with the complex dynamic of the considered models, can lead to identifiability problems, i.e, the impossibility of unique estimation of the unknown model parameters, making the parameter estimation an even harder optimization task [ 3].
As a result, either a dataset of the IR internalization (i.e. y2 = x4 + x5) or a dataset of the remaining surface IR (i.e. y3 = x2 + x3) is enough for unique estimation of the 7 parameters of the model, when the measured data are noise-free.
