multivariate analysis including bivariable components

USAGE SUMMARY

The phrase "multivariate analysis including bivariable components" is correct and usable in written English.
It can be used in academic or research contexts when discussing statistical methods that involve multiple variables, including pairs of variables. Example: "The study employed multivariate analysis including bivariable components to assess the relationships between various factors affecting health outcomes."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

One is our newly introduced multiple genetic programming (MGP) and the other is statistical multivariate analysis including principal component analysis and multivariate regression.

Advanced Engineering Informatics

The structure activity relationship was done using multivariate analysis including principal component analysis (PCA), principal component regression (PCR) and Spearman correlation joined with NMR and DRIFT results.

Journal of Geochemical Exploration

Multivariate analysis, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), were used to link the paint components with the composition of their local sources.

Heritage Science

Statistical analysis was performed by a combination of univariate analysis, i.e. t-tests, analysis of variance (ANOVA) and multivariate analysis, including Principal Component Analysis (PCA), PCA followed by partial least squares discriminant analysis (PLS-DA), and a Random Forest algorithm.

Plosone

Multivariate analysis included the significant independent variables at univariate analysis.

Clinical interventions in aging

Multivariate statistical analysis including principal component analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA) were used to differentiate between the chamomile samples.

Analytica Chimica Acta

Different multivariate analysis techniques including principal component analysis (PCA), hierarchical cluster analysis (HCA) and partial least square discriminant analysis (PLS-DA) were combined to reduce the data sets into a series of optimized and interpretable objects.

Plosone

Multivariate analysis (MVA) including Principal Component Analysis (PCA) and Multivariate Curve Resolution (MCR) was regularly used to check for sample contamination as well as to detect extractives and enzyme activity.

Biotechnology for Biofuels

Processing these complex data can be simplified by multivariate statistical analysis, including data reduction and pattern recognition techniques, such as principal components analysis (PCA) and partial least squares discriminant analysis [15].

Nanoscale Research Letters

His research interests are in exploratory multivariate analysis: functional data analysis including functional PLS, sparse methods, and supervised classification.

Springer

Statistical analysis, including multivariate analysis, was performed using SPSS software.

BMC Cancer

Expert writing Tips

Best practice

When describing statistical analyses, clearly define what "bivariable components" refers to within your multivariate model. This avoids ambiguity about the specific variables and interactions being considered.

Common error

Avoid assuming that bivariable relationships fully capture the complexity of variable interactions. Multivariate analysis is designed to address more complex, multi-faceted relationships, so ensure that bivariable components are integrated thoughtfully within the broader analysis.

Linguistic Context

The phrase "multivariate analysis including bivariable components" serves as a descriptor within statistical methodology. It specifies a type of analysis that considers both multiple variables and the relationships between pairs of variables. Ludwig AI identifies it as grammatically correct, indicating its usability in technical writing.

Expression frequency: Missing

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Ludwig's WRAP-UP

The phrase "multivariate analysis including bivariable components" describes a specific statistical method that incorporates both multiple variables and the relationships between pairs of variables. Although Ludwig AI identifies the phrase as grammatically correct, there are currently no real-world examples to gauge frequency or authoritative sources. The phrase is best suited for formal and scientific contexts, such as academic research. When using this phrase, ensure clarity by defining what "bivariable components" means within your analysis and avoiding oversimplification of complex interactions. Alternative phrases such as "multivariate analysis incorporating bivariate elements" or "multivariate analysis with bivariate components" may offer slight variations in wording.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Multivariate analysis incorporating bivariate elements

Changes "including" to "incorporating" and "bivariable components" to "bivariate elements" for a slight variation in wording.

Multivariate analysis with bivariate components

Replaces "including" with "with" for a more concise expression.

Multivariate analysis considering bivariate factors

Uses "considering" instead of "including" and "factors" instead of "components" to shift the emphasis slightly.

Multivariate analysis accounting for bivariate relationships

Emphasizes the relationships between variables by using "accounting for bivariate relationships".

Multivariate approach including bivariate aspects

Replaces "analysis" with "approach" and "components" with "aspects" to broaden the scope.

Multivariable analysis incorporating two-variable elements

Uses "multivariable" instead of "multivariate" and specifies "two-variable elements" for clarity.

Multivariate statistical analysis including pairwise comparisons

Adds "statistical" to specify the type of analysis and uses "pairwise comparisons" for a more specific term.

Comprehensive analysis incorporating bivariable factors

Replaces "multivariate" with "comprehensive" to suggest a broader scope.

Multivariate modeling that includes bivariable variables

Switches from analysis to modeling and uses 'bivariable variables' for redundancy and emphasis.

Multivariate assessment considering two-way interactions

Replaces "analysis" with "assessment" and highlights "two-way interactions" to emphasize relationships.

FAQs

What does "multivariate analysis including bivariable components" mean?

It refers to a statistical method that examines relationships among three or more variables, while also considering relationships between pairs of variables. It is useful in understanding complex interactions.

How does "multivariate analysis including bivariable components" differ from standard multivariate analysis?

Standard multivariate analysis might not explicitly focus on pairwise relationships. Including bivariable components emphasizes the importance of understanding how individual pairs of variables interact within the larger multivariate context.

In what contexts is "multivariate analysis including bivariable components" particularly useful?

This approach is helpful when you suspect that the relationship between two variables significantly influences the overall multivariate model. It's common in fields like epidemiology, economics, and social sciences.

What are some alternative phrases for "multivariate analysis including bivariable components"?

You can use alternatives like "multivariate analysis incorporating bivariate elements" or "multivariate analysis with bivariate components" depending on the level of formality and specific nuance you want to convey.