Sentence examples for method which sought from inspiring English sources
With the aid of a two-round Delphi consensus method, which sought the opinions of 26 experts, 16 criteria were agreed, of which seven were classified as high priority and nine as intermediate priority.
Hierarchical clustering is a clustering analysis method which seeks to build a hierarchy of clusters.
(4.3) For disturbed data (f^{delta}(t)), we use the Tikhonov regularization method, which seeks a function (v^{delta}_{alpha} x,cdot)) from minimizing quadratic functional J_{alpha}bigl v^{delta}bigr):={biglVert Kv^{delta}-f^{delta}bigrVert }^{2}+{ alpha}^{2}{biglVert v^{delta}bigrVert }^{2}.
Grounded theory is an emergent method, which seeks to find theory implicit in the data collected.
A previous method which seeks to identify a cut point is the maximal chi-square proposed by Miller [ 36].
We have developed the GSOA method, which seeks to identify multi-gene patterns that differ between biological samples from either of two groups.
We compared the performance of the RF supertree heuristic to MRP and the triplet supertree method (which seeks a supertree with the most shared triplets with the collection of input trees) using published supertree data sets from sea birds [ 40], marsupials [ 41], placental mammals [ 42], and legumes [ 43].
One method which seeks to avoid this problem is to use stratum-specific likelihood ratios (SSLRs) [ 19], defined as the ratio of the probability of a given test result when the disease is present and the probability of the same test result when the disease is absent.
Analytical methods, which seek functional relationships between variables of interest to the sizing problem, are one of these approaches.
Researchers have proposed using best-worst scaling (BWS) methods which seek to extract information from respondents by asking them to identify the best and worst items in each choice set.
More recently, some researchers have proposed using best-worst scaling (BWS) methods which seek to extract additional information from respondents by asking them to identify the best and worst items in each choice set.
