multivariate

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multivariate

 [mul″tĭ-var´e-āt]
involving more than one variable (usually taken to mean three or more variables).
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

multivariate

adjective Having more than one variable or caused by more than one determinant.
Segen's Medical Dictionary. © 2012 Farlex, Inc. All rights reserved.

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.
Medical Dictionary, © 2009 Farlex and Partners
References in periodicals archive ?
The ability to handle many types of models other than those based on multivariate statistics is also beneficial.
Yarnold (Eds.), Reading and understanding multivariate statistics (pp.
The above description has been concerned with the construction of appropriate multivariate statistics for testing particular null hypotheses in two-way crossed designs.
Looking at Figure 4C, it is clear that in the mid-1970s the percentage of multiple-authored articles in which the authors used multivariate statistics surpassed the percentage of multiple-authored articles in which the authors used bivariate statistics.(13) A few plausible contextual explanations as to why this crisscross pattern occurred are in order.
Statgraphics Plus for Windows performs a range of statistical routines - including ANOVA, regression analysis, categorical data analysis, and multivariate statistics. Interactive graphics allow a variety of data presentation choices.
Due to the significant correlations among portfolios in the residuals, we employ the GRS multivariate statistics, instead of focusing on the Jensen alpha in the following discussion of abnormal performance of various portfolios.(12)
Modules for experimental design, time-series analysis, and multivariate statistics are projected to be introduced over the next six months.
Applied Univariate, Bivariate, and Multivariate Statistics
For meeting the objectives we had set we used various study methods: system-analysis one, landscape and geological one, the method of GIS technologies, method of retrospective analysis, remote sounding of land surface, multivariate statistics, state estimation of vegetation mantle per hemerobia indices etc.

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