Abstract

Degree of connectedness is defined for each factor in a model to quantitatively describe the design of data. In this simulation study, estimates of residual variance and .of solutions and standard errors obtained from analyses of disconnected data and of groups of connected subclasses of the same data were compared. The factor with the greatest number of levels controlled formation of groups, and degree of connectedness of the complete design. Analysis of all data together appeared appropriate when degree of connectedness was high.
 

J. J Tosh, J. W Wilton

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume XIII. Plenary lectures, molecular genetics and mapping, selection, prediction and estimation., , 480–483, 1990
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