Robustness of the Joint Regression Analysis
Joint Regression Analysis is shown to be extremely robust to missing observations. Thus, using a series of "α-designs" of winter rye cultivars, it was shown that with up to 40% of missing observations the cultivars to be selected would be the same. In this study we considered missing obser...
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| Format: | article |
| Language: | eng |
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2008
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| Online Access: | http://hdl.handle.net/10174/1207 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/1207 |