Sentence examples for multivariate statistics used from inspiring English sources

Statistics were used by sedimentologists and paleontologists to describe populations with some univariate, bivariate, and multivariate statistics used by a few avant garde workers.

The three-dimensional multivariate statistics used in the following are constructed from a collection of 746 quasi-equidistant snapshots of the coupled Earth dynamo taken during a free-run (a numerical integration unconstrained by data) spanning approximately 67,000 years.

Liver and blood plasma were profiled across 14 days, and multivariate statistics used to identify perturbed pathways.

The data were analyzed using descriptive and multivariate statistics using SPSS version 21.0 for windows.

Analytical methods are computer intensive: hardware such as digitizing tablets and video cameras are used for automated description of morphology (morphometrics), multivariate statistics are used to describe and compare species and other taxa, numerical cladistic programs are used for phylogeny reconstruction.

In this approach, large data sets of chemical descriptors are used for characterizing chemicals, and multivariate statistics is used to extract those chemical descriptors that have the highest predictive values for odor responses of individual receptors or receptor families.

Multivariate statistics were used generally, but given the small numbers with placement concerns and poor thesis performance, these were analysed using univariate tests only.

Multivariate statistics were used to compare dimensions of the adult male cranium to other fossils, as well as to a worldwide sample of several thousand modern human skulls.

Multivariate statistics were used to extract the main driving forces for changes in vegetation patterns out of a complex landscape ecological data set.

Because of the large number of reflectance spectra in the image cube, multivariate statistics were used to reduce the dimensionality of the data.

Bivariate and multivariate statistics were used to evaluate the relations between the following variables and outcome: age, depression, anxiety, severity of PTSD symptoms, personality, psychiatric comorbidity, level of exposure to trauma, and individual symptoms of depression, anxiety, and traumatic stress.