Abstract
Since summarization of data from intercropping experiments involves a linear combination of crop yields, it would appear at first glance that multivariate analyses would be ideally suited for this situation. Linear combinations of values of crops, of total calories of crops, of total protein contents of crops, and of land utilization of crops are among some of the linear combinations which have considerable utility in summarizing data from intercropping experiments. From multivariate analyses, canonical variables based upon the criterion of maximum discriminating ability can be obtained when all crops are present in a mixture of crops. For v crops taken k at a time, such canonical variables are not obtainable using presently available theory. Even if they were, it is not certain that they would have any general utility for interpretational purposes. Areas of further research in multivariate analysis are discussed. These results are necessary in order to utilize multivariate analyses for intercropping investigations.
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© 1987 D. Reidel Publishing Company, Dordrecht, Holland
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Federer, W.T., Murty, B.R. (1987). Uses, Limitations, and Requirements of Multivariate Analyses for Intercropping Experiments. In: MacNeill, I.B., Umphrey, G.J., Donner, A., Jandhyala, V.K. (eds) Biostatistics. The University of Western Ontario Series in Philosophy of Science, vol 38. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4794-8_16
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DOI: https://doi.org/10.1007/978-94-009-4794-8_16
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