Sentence examples for techniques used in the analysis from inspiring English sources

The difference in data, both quality and quantity, translates to different techniques used in the analysis.

Two methods for calculating these derivatives are presented, one based on network transformations and resembling techniques used in the analysis of resistive circuits, and another based on iterated solution of a nested set of linear equations.

Other techniques used in the analysis of data included the Fisher's least significant difference (LSD) (Meier 2006; Williams and Abdi 2010), in case the number of respondents in the sample groups was equal.

Details are given of the techniques used in the analysis of asbestiform fibers in the water systems of Duluth, Minnesota and other cities.

However, because of the limitation of the techniques used in the analysis of previous studies, the hot-spot distribution has not been displayed at the district level, and the potential association with the migrant population could not be analyzed quantitatively.

In contrast to classical QTL mapping techniques used in the analysis of complex traits, AM is a method that detects relationships between phenotypic variation and gene polymorphisms in existing germplasm collections, without development of mapping populations [ 9, 10].

bMethodological technique used in the analysis to propose a potential threshold and (in the case of the ROC, 75th percentile and correct classification probabilities) the time point during the study (for example, 4 or 12 weeks after initiation of etanercept therapy) such evaluation has been performed.

They also questioned some techniques used in the new analysis.

This book introduces readers to state-of-the-art computational techniques used in the Bayesian analysis of DSGE models.

Many of the techniques used in the quantitative analysis of ISH are derived from those devised for neurotransmitter-receptor autoradiography.

One method is the exhaustive enumeration of selections of p columns from all k columns to find the exact optimality, while the other is intended to find an approximate solution by applying techniques used in the corresponding analysis, aiming for ease of use as well as a reduction in the large computing time required for large k with the first method.