Analysis of Means for Analyzing Missing Data from Experimental Designs – Part II
Keywords:
Analysis of Means, Missing Data, Replicated Latin Square Designs, Cross Over Designs, F-Square DesignsAbstract
A step-by-step analysis of means (ANOM) procedure proposed by Subramani (1992) to analyze the missing data from randomized block designs has been extended to other experimental designs with missing observations. In part I of this paper, we have applied this method for analyzing the missing data from latin square designs, graeco-latin square designs and hyper graeco -latin square designs. In part II of this paper, it is decided to analyze the missing data from replicated latin square designs of Type I , Type II and Type III, cross over designs and F-Square designs. The procedure is also illustrated with the help of numerical examples.
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