The phrase "a multivariate structure" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or any field that involves multiple variables or dimensions.
Example: "The researchers developed a multivariate structure to analyze the complex relationships between various factors affecting climate change."
Alternatives: "a multidimensional framework" or "a multiple-variable model".
The SIMPROF is an a posteriori permutation test of the null hypothesis that the set of samples below a given node does not show any multivariate structure, which are then represented by dashed lines.
This is a flexible imputation method which allows one to specify the multivariate structure in the data as a series of conditional imputation models.
This paper proposes to model stock price volatility and variations in innovation effort using a Multivariate GARCH structure designed to extract information for risk prediction.
To test whether discrete differences in transition probabilities might have a multivariate covariance structure, we performed a FA on the line means of each behavioral transition probability based on the significant eigenvectors in a principal component analysis (see the section Materials and Methods).
In addition, the paper presents an alternative approach for quantifying the effect of the multivariate structure on the precision of expected collision frequency.
Linear Discriminant Analysis (LDA) [ 19], a Bayesian classification method, provided the classification of the samples considering the multivariate structure of the data.
A 3-dimensional PCA plot of the neuron development pathway, revealing the multivariate structure behind the outlier calculation, is shown in Additional file 2. We opted to determine the leading edge genes that distinguished each outlier group from the rest of samples.
The effectiveness of secondary vs primary treatments of wastewaters in mitigating the effects of sewage discharge on the multivariate structure and diversity of rocky invertebrate assemblages was assessed over a nine-year period through a beyond-BACI experimental design.
This paper proposes a new version of the MRMR criterion in the form (20) capturing the multivariate structure of the data.
In order to better specify the multivariate structure in the data of the charcoal kiln sites, we conducted a principal component analysis (PCA; cf. Venables and Ripley 2002).
