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A missing value technique for the analysis of data with repeated measurements on each experimental unit

Published online by Cambridge University Press:  27 March 2009

D. E. Walters  and
J. G. Rowell
D. E. Walters
Affiliation:
Agricultural and Food Research Council Statistics Group, Department of Applied Biology, Pembroke Street, Cambridge, CB2 3DX
J. G. Rowell
Affiliation:
Agricultural and Food Research Council Statistics Group, Department of Applied Biology, Pembroke Street, Cambridge, CB2 3DX
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Summary

A missing value technique for the analysis of data where repeated measurements are taken on each experimental unit is proposed. The method suggested, which is a natural multivariate analogue of the well-known technique for univariate analyses, fits those missing values which minimize the determinant of the sums of squares and products matrix and provides the necessary downward adjustment to the residual degrees of freedom. A simulation exercise provides evidence that the method is fairly reliable.

Information

Type
Research Article
Information
The Journal of Agricultural Science , Volume 102 , Issue 3 , June 1984 , pp. 595 - 599
Copyright
Copyright © Cambridge University Press 1984

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References

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