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Multivariate Behavioral Research, 1981
Analysis of multivariate aptitude-treatment-interaction data is discussed. Various global hypotheses and the associated follow-up descriptions are considered and compared. Analysis procedures are illustrated using data from a science education study to describe the interaction between student reading ability and the time allowed in an individualized ...
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Analysis of multivariate aptitude-treatment-interaction data is discussed. Various global hypotheses and the associated follow-up descriptions are considered and compared. Analysis procedures are illustrated using data from a science education study to describe the interaction between student reading ability and the time allowed in an individualized ...
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Multivariate analysis using ‘and’ and ‘or’
Mathematical Social Sciences, 1984Extensions from binary to continuous variables are considered of mathematical operators for connectives (''and'', ''or'', ''exclusive or'', etc). Using concepts from fuzzy set theory it is illustrated how such extensions can be used in statistical modelling of interactions in multivariate analysis.
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An Inequality with Application to Multivariate Analysis [PDF]
An inequality for the trace of the product of two symmetric matrices can be used to simplify the proofs of a number of results in multivariate analysis. This is illustrated on two problems: estimating the parameters of a multivariate normal population, and estimating a system of linear functional relationships between the mean vectors of k multivariate
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Multivariate Survival Analysis
Theory of Probability & Its Applications, 1993The author considers problems arising in multivariate survival analysis. It is shown that concepts of history and future of one-dimensional time lead to definitions of multidimensional measures of risk, iterated measures of hazard rate, and a representation of multidimensional survival time.
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PC‐ORD: Multivariate Analysis of Ecological Data
Bulletin of the Ecological Society of America, 1998Aaron M.Ellison
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2016
Starting with Wishart distribution, a multivariate generalization of the chi-square distribution, estimation, and inferential issues is discussed for one-sample, two-sample, and multisample problems. An introduction is given to multivariate linear model which covers multivariate versions of analysis of variance, analysis of covariance, and regression ...
P.K. Bhattacharya, Prabir Burman
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Starting with Wishart distribution, a multivariate generalization of the chi-square distribution, estimation, and inferential issues is discussed for one-sample, two-sample, and multisample problems. An introduction is given to multivariate linear model which covers multivariate versions of analysis of variance, analysis of covariance, and regression ...
P.K. Bhattacharya, Prabir Burman
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The multivariate analysis of variance
1980In this chapter the consideration of procedures based on normal distribution theory will be extended to the analysis of data arising from designed experiments. We shall find that the calculation of a multivariate analysis of variance (MANOVA) is essentially similar to the calculation of a univariate analysis of variance (ANOVA). However, the testing of
Chris Chatfield, Alexander J. Collins
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Introduction to Multivariate Analysis.
The Statistician, 1982Chris Chatfield+2 more
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Permutational Multivariate Analysis of Variance (PERMANOVA)
, 2017Marti J. Anderson
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