SOLVED: Consider a randomized complete block design (RCBD) with treatments and blocks with the model: Yij = μ Ti Bj Eij, where i = 1,2,...,a and j = 1,2. Here, μ is the overall mean, Ti is the effect (fixed) due to the i-th treatment (i = 1,2,...,a), Bj is the effect (fixed) due to the j-th block (j = 1,2), and Eij represents the errors. Assume that the errors Eij are uncorrelated with zero means and constant variance σ^2. Derive the least squares estimators for μ, Ti, and Bj.
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