The phrase "a linear estimator of" is correct and usable in written English.
It can be used in statistical or mathematical contexts when discussing methods for estimating values based on linear relationships.
Example: "The researcher developed a linear estimator of the population mean based on the sample data collected."
Alternatives: "a linear predictor of" or "a linear approximation of".
The main purpose of the problem addressed is to design a linear estimator to approximate the true concentrations of the mRNA and protein through available measurement outputs.
The main purpose is to design a linear estimator to approximate the true concentrations of the mRNA and the protein through the available measurement outputs.
In the absence of such knowledge, a locally linear estimator of predictive reliability that is embedded in the sample space represents a reasonable alternative.
This paper characterizes the minimax linear estimator of the value of an unknown function at a boundary point of its domain in a Gaussian white noise model under the restriction that the first-order derivative of the unknown function is Lipschitz continuous.
To this end, we know that in a model with normal disturbances, the best linear estimator of the state vector is the linear minimum mean square error estimator (MMSE), xt|t−1, which is forecast on the basis of all information available up to the period t − 1.
For the linear model with an inequality constraint, [25 28] studied the admissibility of linear estimator of parameters in the univariate and multivariate linear models under the quadratic and matrix loss, respectively.
In such a case, it is shown that the detector depends on the quaternion widely linear estimator of the signal.
In this paper, considering model (1.5) with the balanced loss (1.6), we investigate the admissibility of linear estimator of regression coefficient in the linear model with an inequality constraint.
The derivation of the optimal linear estimator of (17) is standard.
