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Analysis of Youden square design with two missing observations belonging to the different rows, different columns, different treatments (not common in both the rows)

Abstract

Two missing observations can occur in a Youden Square Design in eight mutually exclusive ways. In the present study, the authors have tried to discuss the case of two missing observations belonging to different rows, different columns, and different treatments (both do not belong to the common set of treatments in both the rows). Estimates of the missing observations and variances of the various elementary treatment contrasts have been obtained by using Bartlett’s covariate analysis.

Optimal Experimental Design MethodsRowMissing dataMathematicsStatisticsRow and column spacesCovariateSet (abstract data type)Computer science
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Analysis of Youden square design with two missing observations belonging to the different rows, different columns, different treatments (not common in both the rows) · Scinovex