Sentence examples for minimum distance method from inspiring English sources

The minimum distance method is carried out to match the testing sample with the calibration template, which realizes the quantitative analysis.

The second uses the latter empirical distributions and a minimum distance method to estimate the parameters of our theoretical model, obtaining a measure for the key hospital's characteristics that drive treatment plans.

The cluster analysis of similarity in correlational structure between follicles of different ovulation order and sex was conducted by Ward's minimum distance method using pseudo- F and preudo- t2 statistics to estimate the number of statistically distinct clusters [after [ 25]].

In this paper, the minimum distance selection method (TMDSM) is adopted to determine the most satisfactory solution.

Indeed, with the minimum arc distance method, by choosing the sampling frequency carefully, the harmonic frequency band caused by nonlinearity has been separated from the signal frequency band, so the contamination to the signal frequency band is greatly eliminated.

The Nei [ 62] minimum genetic distance method is applicable to any population without regard to the number of alleles per locus, the pattern of evolutionary forces and the reproductive method of the organism studied.

To assess the genetic relationships among the accessions of the core collection, a dendrogram was generated using the neighbour-joining (NJ) algorithm [ 62] based on the Nei [ 62] minimum genetic distance method implemented in PowerMarker v.3.25 [ 63] and displayed by MEGA 5 [ 64].

All images were mosaicked and the minimum distance technique supervised classification method [ 29] was used to classify images into 4 land cover types most-related to flying fox habitat, including forest, irrigated vegetation, settlement/rainfed vegetation, and bodies of water.

The parameters of these measurements were selected by our algorithm to lie in those regions where the lower bound of the model estimate is lowest, while keeping a user-specified minimum distance to other measurements (see methods section).

The new measurement points are chosen to lie in those regions where the lower bound of the model estimate is lowest, while keeping a user-specified minimum distance to other measurements (similar to method 3 in [14]).

According to achieved results, MOHEV achieves better solutions compared with the others, and also crowding distance method for BPSP outperforms minimum distance.