Assistant professor of Statistics, University of Rhode Island, Kingston, R. I.
Research scientist, Southern California Edison Company, Rosemead, Calif
Pages: 14 Published: Jan 1978
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
Paper ID: STP35658S