Sentence examples for principal methods that from inspiring English sources

Following a brief overview of DAT and SERT radiotracers that have been demonstrated to be suitable for quantitative analysis in vivo, this article describes the principal methods that have been used for the analysis of these data.

The principal methods that an IDE exerts on a dominated nation are the modification in the investment or trade volume, leading to an improvement or deterioration of dominated nation's commercial balance.

However, retrospective review of paper charts is the principal method that infection control practitioners use to gather information.

I have estimated extremism scores for this year's Republican candidates by combining data from the three principal objective methods that are used to estimate ideology, one based on Congressional voting, one based on fund-raising contributions and the other based on voters' assessments of the candidates' ideology in polls.

There are three principal methods used that vary both in the how lead X-rays are fluoresced and in which lead X-rays are fluoresced.

Here we give a brief description of the linear algebra exploited by the family of multivariate dimension-reduction methods that includes principal component analysis (PCA), log-ratio analysis (LRA), correspondence analysis (CA), and various forms of discriminant analysis.

Identification of local anisotropy and determination of principal axes are addressed through different methods that are designed to be tolerant to the non-smooth character of images on the pixel scale.

For example, methods that rely on principal component analysis to deal with stratification might not be practical since they impose the stratified analysis of sub-groups exhibiting similar characteristics, increasing dimensionality and the sample size required [62].

When I became a principal I still believed in the accuracy of test scores, but I also wanted our teachers to adopt proven methods that were student-focused.

Analysis of these comparative simulation studies shows clearly that parsimony has a strong bias towards grouping long-branched taxa together, but also that ML and other probabilistic methods that in principal account for unequal branch lengths and correct for unobserved changes [ 27, 28] can minimize but not eliminate the risks of long-branch effects [ 6, 31].

H NMR data from CALR and CALS tumours were subjected to unbiased metabolic profiling using principal component analysis (PCA), a method that uses the original variables (metabolite peaks) to derive a new smaller set of orthogonal (uncorrelated) variables, or principal components, that explain the variance in the original data set.