Sentence examples for sum of estimation from inspiring English sources

Exact(1)

This is, however, still larger than the sum of estimation errors (by about 2 MPa).

Similar(59)

We show that estimation of gene expression levels as the sum of estimated isoform expression levels improves gene-level accuracy.

We derive the closed-form of minimum mean-square error (MMSE) estimator and show that, if communication is triggered, the estimator cannot do better than the local Kalman filter, otherwise, the associated error covariance, is simply a sum of the estimation error of the local Kalman filter and the performance loss due to the absence of communication.

Figure 1 Matrix estimation errors, with a random tensor of size 8 × 8 × 8 and rank 5. (a) Matrix A. (b) Matrix B. (c) Matrix S. Figure 2 Sum of matrix estimation errors, with a random tensor of size 3 × 3 × 3 and rank 5. Note the asymptote depending on the maximum number of iterations executed.

The annual soil respiration in 2010 was obtained by calculating the sum of daily estimations (Saiz et al. 2010).

Likewise, since fasting glucose, 2-hour glucose and weight gain were all independent predictors of neonatal sum of skinfolds, estimations based on a combination of high levels of these maternal factors gave a higher amount of subcutaneous fat in the neonate than if all factors were absent.

The actual channel can be represented as a sum of the estimate and the estimation error, that is, (34).

The total estimation error of the concurrent estimator (t_{t}) defined by (4.13) is the sum of the final estimation error (f_{t}) and of the revision error (r_{t}), which are uncorrelated.

Sex, strain and strain × sex interaction effects were tested using non-sequential sums of squares estimation in a general linear model.

The set-membership observer provides a deterministic state interval that is build as the sum of the estimated system states and its corresponding estimation errors bounds.

The supervised anchorbased algorithm [21] chooses the subset of anchors that minimizes the sum of squared distance estimation errors.

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