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dc.contributor.authorSearle, Shayle R.en_US
dc.contributor.authorCornell University. Biometrics Unit.en_US
dc.contributor.authorCornell University. Dept. of Biometrics.en_US
dc.contributor.authorCornell University. Dept. of Biological Statistics and Computational Biology.en_US
dc.date.accessioned2013-03-19T15:10:00Z
dc.date.available2013-03-19T15:10:00Z
dc.date.issued1985-02en_US
dc.identifier.other7851413_7461_001en_US
dc.identifier.other7851413en_US
dc.identifier.urihttps://hdl.handle.net/1813/32973
dc.description30 pages, 1 articleen_US
dc.description*Linear Models for Some-Cells-Empty Data: The Cell Means Formulation, a Consultant's Best Friend* (Searle, Shayle R.) 30 pagesen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesBiometrics Unit Technical Reports; Number BU-867-Men_US
dc.subjectStatisticsen_US
dc.subjectPeriodicalsen_US
dc.subjectBiomathematicsen_US
dc.subjectBiometryen_US
dc.titleLinear Models for Some-Cells-Empty Data: The Cell Means Formulation, a Consultant's Best Frienden_US
dc.typeperiodicalen_US


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