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The analysis of data from germination tests

Published online by Cambridge University Press:  27 March 2009

E. A. Hunter ,
C. A. Glasbey  and
R. E. L. Naylor
E. A. Hunter
Affiliation:
ARC Unit of Statistics, University of Edinburgh
C. A. Glasbey
Affiliation:
ARC Unit of Statistics, University of Edinburgh
R. E. L. Naylor
Affiliation:
School of Agriculture, University of Aberdeen
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Summary

The development of statistically sound methods of summarizing the results from germination tests appears to have been neglected. This paper reviews the literature critically, proposes the use of maximum likelihood techniques to summarize such data and develops an appropriate routine, available as a computer program ‘DISTGERM’.

Type
Research Article
Information
The Journal of Agricultural Science , Volume 102 , Issue 1 , February 1984 , pp. 207 - 213
Copyright
Copyright © Cambridge University Press 1984

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