A technique is developed permitting the simultaneous estimation of missing observations in a randomized-blocks experiment with r blocks and t treatments, for the special case when there is one missing observation in each of n treatments ( n < t) distributed over p blocks such that ni are in the i-th block. More complicated cases can be solved using this technique and iterative methods.