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    A Multivariate Procedure for Comparing Control Areas to Possible Impact Areas, Graphically Displaying the Results

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    Principal components are used to reduce the dimension of highly correlated, multivariate data. After applying analyses of variance to the principal components, looking for site differences, a graphical method of multiple comparisons is presented. The procedure is applied to two large sets of benthic data.


    ecology, environments, principal components, multiple comparisons

    Author Information:

    Callahan, JD
    Assistant professor of Statistics, University of Rhode Island, Kingston, R. I.

    Palmer, J
    Research scientist, Southern California Edison Company, Rosemead, Calif

    Committee/Subcommittee: D19.02

    DOI: 10.1520/STP35658S