Sentence examples for data interpretation method from inspiring English sources

A simplified data interpretation method for determining reaction rates from observed RCTWT breakthrough data was developed.

Being able to determine all four parameters simultaneously from the same data set, the present data interpretation method provides an additional reduction in the overall effort by a factor of four on top of the reduction in time required for data gathering.

Novel numerical simulation technology of resistivity LWD tool response can provide important theoretical guidance for designing high-accuracy electrical logging instruments and building accurate measurement data interpretation method.

Thus, it can be seen that the study of the numerical simulation for resistivity LWD tool response has important significance to guide the development of high-precision resistivity LWD tool and build accurate resistivity LWD measurement data interpretation method.

The methodological debates relate to standardising the VA interview and data interpretation method to generate COD data amenable to cross-national comparison and analysis (65), and applying the method to investigate the social situations surrounding deaths (68).

Sample dynamic range is also maintained while quantitation is achieved for all but the most abundant proteins by incorporating a novel data interpretation method that allows accurate quantitation to occur.

These identifications are nearly impossible to detect via normal data interpretation methods.

Data reduction, data analysis and data interpretation methods are essential to enable engineers to use more precisely information for structural analysis and repair, lifetime prediction, and maintenance.

Effective land cover mapping often requires the use of multiple data sources and data interpretation methods, particularly when no one data source or interpretation method provides sufficiently good results.

This paper presents an evaluation of two model-free data interpretation methods that have previously been identified to be attractive for applications in structural engineering: moving principal component analysis (MPCA) and robust regression analysis (RRA).

In the data preparation, the same data interpretation methods and the same classification categories were adopted.