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

JD Callahan; J Palmer

doi:10.1520/STP35658S

SYMPOSIA PAPER Published: 01 January 1978

STP35658S

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.

Author Information

Callahan, JD

University of Rhode Island, Kingston, R. I.

Palmer, J

Southern California Edison Company, Rosemead, Calif

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Details

Developed by Committee: D19

Pages: 78–91

DOI: 10.1520/STP35658S

ISBN-EB: 978-0-8031-4722-5

ISBN-13: 978-0-8031-0803-5

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

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