Sentence examples for estimation of the order from inspiring English sources

The first step in subspace methods for identification of multivariable systems is the estimation of the order of the model to be identified.

To circumvent this, an estimation of the order parameter from the HRTEM images taken at different zones inside the GaAsBi layer was carried out.

In this article, we proposed to apply AIC, BIC, and φ β, to the estimation of the order of ARMA models shown in (21).

(12) We need another estimation of the order of (|l_{n}(cdot+y -l_{n}(cdot+y -l_{n as different from above, to reach the required result.

The obtained results show that proposed approach is robust and it performs with high accuracy estimation of the order component and the instantaneous frequency under different operating conditions; both allow capturing machine dynamic behavior.

The errors E ( N ) with respect to the reference solution are reported together with the estimation of the order of convergence (EOC) obtained as EOC = log 2 ( E ( N ) / E ( 2 N ) ).

Results of the estimation of the ordered probit therefore confirm those on interval regression.

Given the results in the APOE+ and amyloid+ populations, it seems likely that these subjects reside predominantly in the APOE− and amyloid− populations, and indeed estimation of the ordering using the APOE− and amyloid− subject groups alone supports this hypothesis, confirming that CSF total tau and phosphorylated tau events appear earlier than CSF amyloid-β1 42 (damyloid-β1 42).

For instance, removing optimally half the stations leads to an estimation error of the order of the standard observational error (10 μg m−3).

Rao (2007) has estimated the satellite and receiver biases for many cases and found that the satellite and receiver biases vary from ±6 ns (1 ns = 2.85 TECU) with estimation precision of the order of ±0.17 ns and average value of σ 1.17 ns.

The variance estimate in (101) involves the same expression as in the fundamental frequency estimation criterion in (42), which means that the same expression can be used for estimating the model order and the fundamental frequency, i.e., the approach allows for joint estimation of the model order and the fundamental frequency.