Results 201 to 210 of about 17,543 (250)
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Multivariate Analysis of Variance (MANOVA)
Biometrics, 1962Theoretical results, mostly in the areas of tests of significance and estimation, have been available for some time now for certain problems of MANOVA. [e.g. 6, 9, 10, 11, 14, 16, 17, 19, 26]. It must, of course, be recognized that most of these theoretical results on estimation and tests of significance are useful in applications only as tools for ...
Smith, H. +2 more
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Variable Selection in the Multivariate Analysis of Variance (Manova)
Communications in Statistics - Simulation and Computation, 1975Heuristic 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)
2010The paper describes a model of the multivariate analysis of variance (MANOVA). First, we outline differences between this method and the univariate analysis of variance (ANOVA). We present basic repeated measures designs and point to the research designs that provide data which can be analyzed only with the MANOVA models.
Aranowska, Elżbieta, Rytel, Jolanta
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Multivariate analysis of variance (MANOVA)
Chemometrics and Intelligent Laboratory Systems, 1990Abstract 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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Journal of Research in Educational Sciences, 2021
There is seemingly anonymity and observation among consumers of educational research that multivariate analysis of variance (MANOVA) is one of the most predominant and commonly used statistical models for the analysis of data in the discipline of education.
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There is seemingly anonymity and observation among consumers of educational research that multivariate analysis of variance (MANOVA) is one of the most predominant and commonly used statistical models for the analysis of data in the discipline of education.
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Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)
Multivariate Behavioral Research, 2009When 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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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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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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Multivariate Analysis of Variance (MANOVA)
2022Pat Dugard, John Todman, Harry Staines
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Educational and Psychological Measurement, 1980
The BMD12V MANOVA program does not compute the appropriate between-subjects tests in mixed effects designs. Although James (1979) recently suggested a technique for obtaining between-subjects tests, his formulas are shown to be incorrect. Suggestions are given for obtaining the appropriate statistics.
Bernard S. Gorman, Louis H. Primavera
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The BMD12V MANOVA program does not compute the appropriate between-subjects tests in mixed effects designs. Although James (1979) recently suggested a technique for obtaining between-subjects tests, his formulas are shown to be incorrect. Suggestions are given for obtaining the appropriate statistics.
Bernard S. Gorman, Louis H. Primavera
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MANOVA: Multivariate analysis of variance
2023Tooba Amouzadeh, Arjmandnia, Ali Akbar
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