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- W2028362802 abstract "There exist many experimental situations where one has a set of observation vectors from a number of different experimental groups and the investigator is interested in determining what differences may be present among the groups. A univariate statistical analysis on each observed random variable ignores the dependence existing between variables which may well be a source of differentiation. Canonical analysis is one of the statistical techniques available for the analysis of muitivariate data. In this article results from a simulation study of canonical analysis are given in order to display this muitivariate technique and see how it is able to differentiate among muitivariate populations under various distributional assumptions. In addition, an example is presented in which canonical analysis is applied to the investigation of a set of data arising from research in the ecological sciences studying the effect of water temperature ana recovery time on the blood sera of fish." @default.
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- W2028362802 date "1973-06-01" @default.
- W2028362802 modified "2023-09-24" @default.
- W2028362802 title "Some investigations and simulation studies of canonical analysis" @default.
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- W2028362802 doi "https://doi.org/10.1080/00949657308810046" @default.
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