Sentence examples for predictor of order from inspiring English sources

We take into consideration an Adams-Bashforth-Moulton PECE pair, with the predictor of order q and the corrector of order q + 1.

Linear prediction is the problem of finding the minimum mean square estimate of using a linear combination of the past signal values from to The most commonly used forward one step Finite Impulse Response (FIR) linear predictor of order is given by (4).

Present production codes start with a predictor of order 1 and a corrector of order 2 at the first step, and then proceed step by step, each time raising the order by 1, until all the necessary starting values have been obtained.

Future studies should include detailed qualitative assessments of reasons for order-set use and non-use, and larger studies should attempt to identify significant predictors of order set uptake, as this may not only affect the educational impact of this intervention, but also its impact on physician behaviour patient care.

In predictive audio coding, it is common to use predictors of orders greater than 10 [6].

For both age groups, the most significant predictor of Word Order (verbal WM) was Spatial Memory (visual-spatial WM).

For both age groups, the most significant predictor of Word Order (verbal WM) was Number Recall (auditory-phonological WM), with the significance of Hand Movements (visual-motor WM) and Spatial Memory (visual-spatial WM) much weaker for the older age group compared to the younger age group.

Another reason why this investigation is important is to determine whether or not the outcome itself is a useful predictor of missingness, in order to assess whether MNAR modelling is required.

The impact of the number of the foreword prediction frame N and the number of the predictor order M of the RLS predictor is analyzed in detail.

In particular, they calculated mean residuals across deciles of the linear predictor in order to identify systematic patterns of misfit in the predictions.

Structural equation modeling was used to estimate the total effect of each predictor, in order to establish a linear model to predict the MSQoL score with these interrelations accounted for.