Sentence examples for method has corresponding from inspiring English sources

Each forecast method has corresponding forecast errors defined as the difference between the actual counts and the forecasted (predicted) counts.

T2D (yes/no) was modelled as a time-varying exposure in the current study, meaning that information on T2D reported in questionnaire n was used to prospectively categorise participants for the periods between completion of questionnaires n and n+1, and that the risk person-years were allocated to the corresponding groups; the corresponding method has been described elsewhere in detail.

We note that six of the 65 chimeric TE insertions identified by BLAST-based methods do not have corresponding TEs in the Release 3.2 annotation.

Filtering techniques are reviewed and the fundamental philosophy and metrological characteristic of each method has been highlighted, and the corresponding theory and algorithm has been briefly introduced.

To solve the task we have re-used some of the IQC framework ideas, where the method has been utilized and the corresponding IQCs have been found only for unbounded trajectories, if they would be present in closed loop system.

In this paper, two-channel and differential dielectric spectroscopy (TD-DES) measurement method has been proposed and the corresponding TD-DES Analyzer based on AD5933 impedance converter chip has been designed.

This structure was proposed in [13], and the corresponding array signal processing method has been discussed in [14 16].

An analytical method has been developed for predicting the strength of structural members corresponding to the unstable brittle crack propagation.

The Asphalt Institute design method has provided the highest stage design strength ratios when compared to the corresponding results obtained from the Caltrans and AASHTO design methods.

For example, in Figure 4, the results of the GHC method have two peaks, corresponding to the classes of 1-10 and 30001-59049.

Application of these methods has led to corresponding studies evaluating the sensitivity of model performance to requisite data and other factors that may lead to imprecise or false inferences.