The phrase "a multivariate analytical" is not correct as it is incomplete and lacks a noun to modify.
You can use it in contexts related to statistical analysis or research where you are discussing methods that involve multiple variables.
Example: "The study employed a multivariate analytical approach to assess the impact of various factors on the outcome."
Alternatives: "a multivariate analysis" or "a multivariate method".
The proposed three-way strategy can be easily designed and executed, obtaining a multivariate analytical method more robust than using a traditional two-way modeling technique.
The combination of UV-Vis spectrophotometry with a chemometric calibration tool based on partial least squares (PLS) has allowed us the development of a multivariate analytical method that simultaneously estimates the concentration and size of mixtures of silver nanoparticles (AgNPs) in environmental water samples.
The independent effects of the significant factors, was determined using a multivariate analytical method the Cox's proportional hazard model.
SEM is a multivariate analytical tool that is used to test hypotheses about directional influence s among brain regions, and it has been used to determine functional and effective connectivity in a variety of WM studies [Schlösser et al., 2006].
A new multivariate analytical technique for the analysis of medical classification, Grade of Membership analysis, is utilized to examine somatization disorder in a community population.
Principal component analysis (PCA) is a widely used multivariate analytical statistical technique that can be applied to data to reduce the set of dependent variables (i.e., attributes, traits) to a smaller set of underlying variables (called factors) based on patterns of correlation among the original variables [ 38].
A novel and straightforward multivariate analytical tool for the qualitative determination of powder blend uniformity using on-line Near-Infrared Spectroscopy (NIRS) is presented.
Although these difficulties can be colloquially interpreted as a deficiency in selectivity, the reality is that there is a surprising lack of consensus around a quantitative definition of selectivity for multivariate analytical measurements, and little discussion about the analytical implications of partial selectivity, which is a salient feature of most sensor arrays.
The number, variety and spatial variability of the organisms encountered are presented and analysed using a suite of standard univariate and multivariate analytical techniques.
Multivariate analytical techniques represent a variety of mathematical models used to measure and quantify an exposure disease or an exposure outcome association, taking into account important factors that can influence this relationship.
This book offers an introductory-level guide to the complex field of multivariate analytical calibration, with particular emphasis on real applications such as near infrared spectroscopy.
