Sentence examples for multivariate data that from inspiring English sources

Modeling multivariate data that are subject to missingness requires making assumptions about how the missing data arise.

The innovation here is about bringing it all together, this large volume, multivariate data that can be associated to particular psychographic profiles, or even individuals.

ICA defines a generative model for separating the observed multivariate data that are mixtures of unknown sources without any previous knowledge.

PCA is a procedure for analyzing multivariate data that establishes "metric" differences between groups under investigation on the basis of their characterizing multivariate data [72].

The distances are calculated based on the multivariate data that can be associated with each sample.

Hypercortisolism of various adrenocortical diseases, including carcinoma, adenoma and hyperplasia, are ordinal multivariate data that can be analyzed by ordinal logistic regression.

Both of these models outperform other standard multivariate copula in modeling multivariate flood data that exhibiting complex patterns of dependence, particularly in the tails.

Further methodological investigations into modelling multivariate summary data that is not normally distributed will therefore be useful.

Marginal Cox-regression models for multivariate survival data that adjusted for surgeon clustering (due to the potential lack of independence amongst the observations (Lin and Wei 1989) were fit with propensity score weights for each imputed data set and the results were subsequently aggregated across data sets.

The box plot is likely the simplest statistical technique to detect outliers in both univariate and multivariate data sets that makes no assumptions about the data distribution model [23, 32].

For multivariate data sets that are interrelated, appropriate application of PCA is using R = [ r ij ] matrix for eigen analysis.