e-Statistics

Two-Way Additive Model

An experiment involving one-way layout with blocks is called randomized block design. In the development of this model agricultural experiments provide a classic example. To compare the effects of k different fertilizers (“treatments,” or “factor levels”), b plots of land (or “blocks”) are selected, and each of them is divided into k plots; this is viewed as a multi-sample generalization of paired experiment. Within each block, the assignment of fertilizers to plots is made at random, which helps to ensure against unintentional bias. Then data of size n are obtained for each combination of treatment and block, and summarized in the following table.

Treatment Block-1 . . . . . . . Block-b Sample size
1 $ X_{11 \cdot}$ . . . . . . . $ X_{1b \cdot}$ b
$ \vdots$ $ \vdots$ . . . . . . . $ \vdots$ $ \vdots$
k $ X_{k1 \cdot}$ . . . . . . . $ X_{kb \cdot}$ b

Each $ X_{ij \cdot}$ consists of $ n$ measurements $ X_{ijl}$, $ l=1,\ldots,n$.


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