missing-plot technique A standard formula for the estimation of a missing datum observation (or, with suitable modification, the estimation of several missing values) in the analysis of the variance of data collected according to a recognized experimental design. The missing observation (x′_ij) may be estimated as: x′_ij = tT′_j+bB′_j−G′/(t−1)(b−1) where T′_j, bB′_j, and G′ are the treatment, block, and grand totals for the available observations, i is the ith treatment, j is the jth block, t is the number of treatments, and b is the number of blocks.

missing-plot technique Standard formula for the estimation of a missing datum observation (or, with suitable modification, the estimation of several missing values) in the analysis of the variance of data collected according to a recognized experimental design. The missing observation (x′_ij) may be estimated as:

x′_ij = (tT′_i + bB′_j − G′) / (t − 1) (b − 1),

where T′_i, B′_j, and G' are the treatment, block, and grand totals for the available observations, i is the ith treatment, j is the jth block, t is the number of treatments, and b is the number of blocks.

missing-plot technique A standard formula for the estimation of a missing datum observation (or, with suitable modification, the estimation of several missing values) in the analysis of the variance of data collected according to a recognized experimental design. The missing observation (x′ij) may be estimated as: x′_ij = tT′_i + bB′_j − G′/(t − 1)(b − 1), where T′_i, B′_j, and G′ are the treatment, block, and grand totals for the available observations, i is the ith treatment, j is the jth block, t is the number of treatments, and b is the number of blocks.