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an introduction to multivariate statistical analysis

By: Language: English Series: wiley series in probability and mathematical statistics. probability and mathematical statistics | barnett, vic (ed.) | bradley, ralph a. (ed.) | hunter, j. stuart (ed.) | et alPublication details: new york, chichester, brisbane: john wiley and sons, 1984Edition: 2. edDescription: xvii, 675 ppISBN:
  • 0-471-88987-3
Subject(s): DDC classification:
  • 519 probabilities & applied mathematics
Contents:
from the table of contents: preface; introduction; the multivariate normal distribution; estimation of the mean vector and the covariance matrix; the distributions and uses of sample correlation coefficients; the generalized t2-statistic; classification of observations; the distribution of the sample covariance matrix and the sample generalized variance; testing the general linear hypothesis, multivariate analysis of variance; testing independence of sets of variates; testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices; principal components; canonical correlations and canonical variables; the distributions of characteristic roots and vectors; factor analysis; appendices;
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Item type Current library Shelving location Call number Status Date due Barcode
Loanable Institute for Advanced Studies (IHS) Book 11400-A Available IHS10360540X

from the table of contents: preface; introduction; the multivariate normal distribution; estimation of the mean vector and the covariance matrix; the distributions and uses of sample correlation coefficients; the generalized t2-statistic; classification of observations; the distribution of the sample covariance matrix and the sample generalized variance; testing the general linear hypothesis, multivariate analysis of variance; testing independence of sets of variates; testing hypotheses of equality of covariance matrices and equality of mean vectors and covariance matrices; principal components; canonical correlations and canonical variables; the distributions of characteristic roots and vectors; factor analysis; appendices;

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