Sentence examples for mean squared estimation from inspiring English sources

The cross-validation statistics investigated include mean squared estimation error (MSE), root mean squared estimation error (RMSE), mean absolute estimation error (MAE), mean of the root variance of the posterior PDFs (MR), the square of Pearson's correlation coefficient, and the square of Spearman's correlation coefficient.

The CRLB provides a lower limit on the mean squared estimation error of an unbiased estimator of nonrandom parameter [30].

The algorithm for estimating tsp2 is also based on MMSE principle, thus the optimal estimate of the new channel switch point t sp 2 * is the one which minimizes the mean squared estimation error ε' between the estimated value t ^ sp 2 and the real value tsp2.

The most informative subjects are selected as those with the smallest mean squared estimation error.

We also find a lower bound for the mean squared estimation error due to the uncertainty principle.

The optimal estimate of the new channel switch point t sp 1 * is the one which minimizes the mean squared estimation error ε, and the expression of t sp 1 * is t sp 1 * = arg min t i < t ^ sp 1 < t i + T 1 i ε = E ( t ^ sp 1 - t sp 1 ) 2 (12).

The estimate (5) gives rise to a mean-squared estimation error (MSE) that is equal to E | ĥ - h | 2 = N 0 K p E s. (6).

Based on the event-triggered scheme, an optimal estimator gain is designed by minimizing the mean-squared estimation error covariance, and then a sufficient condition is provided to guarantee the stability of the proposed distributed estimator.

An optimal estimator is designed for each sensor by minimizing its mean-squared estimation error.

First, an optimal estimator gain is designed for each sensor by minimizing the mean-squared estimation error covariance.

The FC collects the signals from all sensors and reconstructs the source according to a given fidelity criterion, for example, minimum mean-squared estimation error.