multivariate


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Related to multivariate: multivariate analysis

multivariate

 [mul″tĭ-var´e-āt]
involving more than one variable (usually taken to mean three or more variables).

multivariate

adjective Having more than one variable or caused by more than one determinant.

multivariate

, multivariable (mŭl-tē-var′ē-āt″) (mŭl-tē-var′ē-ă-bĕl)
1. In statistics, having more than one variable.
2. Pert. to a research study in which two or more parameters are allowed to assume several values.
References in periodicals archive ?
The Unscrambler X software offers advanced multivariate methods, data visualization tools and the ability to cut through large data sets.
This suggests the multivariate generalization that we show next.
Data analysts are increasingly monitoring multivariate processes that are subject to shifts in scale as well as location.
In assessing multivariate stable model performance, we use backtesting methodology that allows us to separately evaluate higher-order dynamics and the distributional assumption.
Multivariate products have major advantages for commercial auto coverage where loss frequency and severity have many predictable characteristics.
Most important, I'll also tell you how you can start bumping up your own profits with your own (very inexpensive) multivariate program.
Umetrics' products include SIMCA software for multivariate data analysis and MODDE software for the design of experiments.
The small sample size, small number of patients with the outcome of interest (late SARS recognition), and small cell size for some dichotomous variables precludes multivariate logistic regression analysis.
Key words: continuous univariate distributions; discrete univariate distributions; multivariate distributions; probability distributions.
2004) in which the effects of different combinations of confounders on multivariate analyses of neurobehavior and neurotoxic exposure were studied.
The researchers have developed statistical methods using multivariate image regression (MVIR) to evaluate pulp properties from multi-spectral NIR images of finished pulp.

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