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Multivariate Statistical Analysis
Psychophysiology, 1973ABSTRACTGeneral multivariate statistical theory and three statistical models (multi‐variate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented.
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Multivariate Statistical Techniques
2003This paper serves as an overview of various multivariate statistical techniques that can be used to analyse and describe survey datasets. Such analyses are useful for gaining a better understanding of results and the interpretation thereof. In particular this paper evaluates some of the standard statistical techniques that can be used to analyse ...
Pauw, Kalie, Pauw, Kalie
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The Multivariate Portmanteau Statistic
Journal of the American Statistical Association, 1980Abstract Box and Pierce have derived a goodness-of-fit test, the portmanteau test, for univariate autoregressive moving-average (ARMA) time series models. This test is here extended to multivariate ARMA models; the test statistic may be conveniently expressed as a function of the covariances between the residuals of the fitted model. A modified form of
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Multivariate Environmental Statistics.
Biometrics, 1995Preface. Multivariate environmental statistics in agriculture (V. Barnett). A study of the relationship between diversity indices of Benthic communities and heavy metal concentrations of northwest Atlantic sediments (N.C. Bolgiano, R.N. Reid, G.P. Patil). Multivariate non-normal statistics in site characterization and evaluation (J.H. Carson, Jr., A.K.
Ganapati P. Patil +2 more
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Multivariate Statistical Inference.
Journal of the Royal Statistical Society. Series A (General), 1974D. G. Kabe, R. L. Holder, R. P. Gupta
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Communications in Statistics - Theory and Methods, 1984
Classical order statistics are generalized to random samples from continuous multivariate distributions.
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Classical order statistics are generalized to random samples from continuous multivariate distributions.
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Applied Multivariate Statistical Analysis.
Applied Statistics, 1983Dean W. Wichern +2 more
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1989
This chapter is primarily concerned with the marginal ordering of the observations. Thus, the restriction to one component again leads to the order statistics dealt with in Chapter 1. Our treatment of multivariate order statistics will not be as exhaustive as that in the univariate case because of the technical difficulties and the complicated formulae
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This chapter is primarily concerned with the marginal ordering of the observations. Thus, the restriction to one component again leads to the order statistics dealt with in Chapter 1. Our treatment of multivariate order statistics will not be as exhaustive as that in the univariate case because of the technical difficulties and the complicated formulae
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Multivariate Statistical Models
2010Often we are not interested merely in a single random variable but rather in the joint behavior of several random variables, for example, returns on several assets and a market index. Multivariate distributions describe such joint behavior. This chapter is an introduction to the use of multivariate distributions for modeling financial markets data ...
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