The phrase "applicable for estimation" is correct and usable in written English.
It can be used when discussing criteria, methods, or parameters that can be used for making an estimation in various contexts, such as finance, project management, or research.
Example: "The following parameters are applicable for estimation in our budget analysis."
Alternatives: "relevant for estimation" or "suitable for estimation".
Simulation results have shown that the conventional constraint that only the low-frequency component in the SC's output is applicable for channel estimation is unnecessary when the proposed estimation method is used.
It was also revealed that KI dosimetry could be applicable for the estimation of the sonochemical reactions of non-volatile compounds such as As III).
Being restricted by the relative larger size requirement, traditional and standard fracture specimens are not applicable for the estimation of fatigue crack growth behavior of some very finite-sized components and precious materials.
With theoretical derivations and a case application, the model was applicable for both dynamic estimation and typical composting scenario.
Thus, different from the widely used artificial neural networks based prediction approaches which require large historical data for data modeling and training [43], the presented prediction method results in acceptable hardware cost and it is applicable for the data estimation of on-line applications [4, 9, 39].
Then, we introduce a framework for constraint implementation, based on first solving an unconstrained estimation problem and then a constrained problem, with recursive estimators such as the unscented Kalman filter (UKF) and the ensemble Kalman filter (EnKF); we also show that the same framework is applicable for moving horizon estimation (MHE).
The proposed method is applicable for various likelihood estimation problems, including other generalized linear models.
However, the standard particle filter algorithm is not applicable for time-varying parameter estimation problems, especially incompetent for abrupt parameters.
Therefore, the ICRP formalism is not applicable for performing individual risk estimation of radiation-induced effects.
The expected number of patients was provided for 100 (74%) protocols (minimum: 5 patients; maximum: 80,000; median: 100), not applicable for 21 (14%), no estimations were calculated for 16 (12%), and were missing for five (4%).
