| ||Format||Pages||Price|| |
|PDF (148K)||14||$25||  ADD TO CART|
|Complete Source PDF (2.5M)||193||$60||  ADD TO CART|
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
Assistant professor of Statistics, University of Rhode Island, Kingston, R. I.
Research scientist, Southern California Edison Company, Rosemead, Calif