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Multivariate Techniques of Use in Biological Research

Published online by Cambridge University Press:  03 October 2008

S. C. Pearce
S. C. Pearce
Affiliation:
East Malling Research Station, Maidstone
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Summary

Multivariate statistical methods are used increasingly in biological research to investigate the responses of organisms considered as a whole, whereas established statistical methods are usually concerned with measured characteristics considered one at a time. Multivariate techniques are mostly explained in terms of matrix algebra, which is a way of dealing with groups of numbers rather than individual ones. A brief description is given of some elementary results of matrix algebra and a method is presented whereby hypotheses can be generated about interrelations within an organism. Two techniques, principal component analysis and canonical analysis, are described in greater detail. It is emphasized that hypotheses need to be tested even though they have been generated by objective statistical means.

Type
Research Article
Information
Experimental Agriculture , Volume 5 , Issue 1 , January 1969 , pp. 67 - 77
Copyright
Copyright © Cambridge University Press 1969

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References

REFERENCES

Blackith, R. E. (1957). Biometrics 13, 183.CrossRefGoogle Scholar
Blackith, R. E., Davies, R. G. & Moy, E. A. (1963). Growth 27, 317.Google Scholar
Goodall, D. W. (1954). Austral. J. Bot. 2, 304.CrossRefGoogle Scholar
Hattemer, H. H. (1966). Der Zuchter, 36, 317.Google Scholar
Holland, D. A. (1968). Expl Agric. 4, 179.CrossRefGoogle Scholar
Holland, D. A., (1969). Expl Agric. 5 (in press).CrossRefGoogle Scholar
Jeffers, J. N. R. & Black, T. M. (1963). Forestry 36, 199.CrossRefGoogle Scholar
Moore, C. S. (1965). J. hort. Sci. 40, 133.CrossRefGoogle Scholar
Pearce, S. C. (1965). Biological Statistics: An Introduction, New York:Google Scholar
Walloff, N. (1966). J. appl. Ecol. 3, 293.CrossRefGoogle Scholar
Yarranton, G. A. (1967). Canadian J. Bot. 45, 93.CrossRefGoogle Scholar