Sentence examples for order variance from inspiring English sources

The total recoverable and serviceable inventory costs and production order variance are considered as the main performance indicators.

We compare the results of those Monte Carlo experiments with an analytical uncertainty method First Order Variance Approximation (FOVA).

Finally, a brief numerical comparison with closed loop experiment design based on a high model order variance expression is presented.

Trials were always presented in the same order to reduce contribution of order variance in the measurement of individual differences.

Furthermore, remanufacturing demonstrates an appreciable contribution to low order variance in periodic review systems for high values of return to demand ratio and lead times.

The uncertainty analysis is performed using the First Order Variance Analysis (FOVA) and the results compared to a standard Monte Carlo Uncertainty Analysis (MCUA).

We used restricted maximum likelihood to estimate model parameters, with an ante-dependent (first order) variance-covariance matrix structure.

In order to facilitate applications in Section 5, now we introduce a special ϕ-Jensen variance, which is called a γ-order variance.

For example, we may use the integral variance ({operatorname{JVar}_{iintvarphi^{-1} }varphi}) or γ-order variance (operatorname{Var}^{[gamma]}{varphi}) to replace the traditional variance Varφ.

In order to illustrate the significance of the ϕ-Jensen variance, integral variance and γ-order variance, we provide an illustrative example as follows.

Numerical results show that the spectral combination of considering one degree-order variance component for each type of observation yields better results than the case where one degree-order variance component is estimated for each integral solution of the gradiometric boundary value problem.