Results 221 to 230 of about 23,291 (279)
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Variable Selection in the Multivariate Analysis of Variance (Manova)

Communications in Statistics - Simulation and Computation, 1975
Heuristic arguments are used to propose sose procedures for the selection of variables in multivariate analysis of variance.A set of specific treatment structures are used to generate sample data for an evaluation of the effectiveness of the proposed procedures.
Farmer, J. H., Freund, R. J.
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Multivariate analysis of variance (MANOVA)

Chemometrics and Intelligent Laboratory Systems, 1990
Abstract St»hle, L. and Wold, S., 1990. Multivariate analysis of variance (MANOVA). Chemometrics and Intelligent Laboratory Systems, 9: 127–141. In this tutorial we illustrate the practical use of multivariate analysis of variance (MANOVA). MANOVA concerns the situation where several response variables, e.g.
Lars St»hle, Svante Wold
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Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)

Multivariate Behavioral Research, 2009
When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether ...
H S, Steyn, S M, Ellis
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Multivariate analysis of variance (MANOVA) on the microstructure gradient of biomimetic nanofiber scaffolds fabricated by cone electrospinning

Journal of Manufacturing Processes, 2019
Abstract Biomimetic scaffolds for tissue engineering should exhibit structural complexity close to native tissues, which typically have non-homogenous nanostructures. This study presents a novel electrospinning process using a cone-shape rotating collector to fabricate polymer nanofiber scaffold with continuous gradient microstructures.
Min Wang, Yingge Zhou, George Z. Tan
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APPLICATIONS OF MULTIVARIATE ANALYSIS OF VARIANCE TO EDUCATIONAL AND PSYCHOLOGICAL RESEARCH: HYPOTHESIS TESTING BY MANOVA PROGRAMS

Multivariate Behavioral Research, 1971
The usual Gauss-Markoff linear model for least squares analysis has been developed by Rao for the theory of multivariate linear models. This paper develops a series of computational concepts and formulae which enable flexible work with the general multivariate linear model.
K. Bay
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Multivariate Analysis of Variance (MANOVA)

International Encyclopedia of Statistical Science, 2011
Barbara G. Tabachnick, Linda S. Fidell
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Analyzing test batteries in animal models of psychopathology with multivariate analysis of variance (MANOVA): One possible approach to increase external validity

Pharmacology, Biochemistry and Behavior, 2017
Background: One concern regarding animal models of psychopathology is unclear external validity. One way to establish external validity is to examine measures representing separate facets of the pathology with a battery of tests in the same cohort of ...
Yelena Stukalin, H. Einat
semanticscholar   +1 more source

Multivariate analysis of variance for multilevel data: a simulation study comparing methods

Journal of Experimental Education, 2020
Multivariate analysis of variance (MANOVA) is widely used to test the null hypothesis of equal multivariate means across 2 or more groups. MANOVA rests upon an assumption that error terms are independent of one another, which can be violated if ...
W. H. Finch
semanticscholar   +1 more source

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