multivariate

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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 ?
Also, different mould geometries can produce varying flow patterns that may produce signals in heat flux related measurements that are difficult to interpret and that therefore may not be useful for modelling based on multivariate statistics.
John continues to contribute to research as an Emeritus Professor at McMaster and to applications through a spin-off company that offers software and services for applications of multivariate statistics.
Multivariate Analysis for the Biobehavioral and Social Sciences is an excellent book for behavioral, health, and social science courses on multivariate statistics at the graduate level.
Reading and understanding more multivariate statistics (pp.
Bajorski (statistics, Rochester Institute of Technology, New York) has developed a textbook from lecture notes for a graduate course on multivariate statistics he taught for imaging science students.
Included are chapters on consumer and cosmetic product uses and production, environmental transformations, using fatty alcohols as biomarkers, multivariate statistics, and environmental and human safety aspects.
Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis.
This specialized branch of multivariate statistics extends the standard methods for two-way data.
The 2003 Synergy Award recognizes the co-winners' development of expertise in the technology of Multivariate Statistics - advanced statistical modeling techniques that manage many variables simultaneously and extract valuable information from manufacturing processes data flows.
The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided.
Chapters cover decision analysis, fames and information, contracting, accounting, finance, microeconomics, economic analysis of law, statistical analysis, and multivariate statistics.

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