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The total foliar area or mass of a tree is difficult to measure, as is its bark or ca~bial area, a_nd various other components of aboveground biomass. A variety of sampling methods IS proposed and estimators of these characteristics are presented. Based on probability precepts, all estimators are unbiased. An unbiased estimator of variance for each estimator also is presented. The basis in probability rather than a fitted regression equation provides some important safeguards, and is a useful alternative when fitted regression functions are unavailable for a particular species and physiographic condition.

New Haven, Connecticut Northeastern Forest Experiment StationThis paper describes several algorithms for computing the residual sums of squares for all possible regressions with what appears to be a minimum of arithmetic (less than six floating-point operations per regression) and shows how two of these algorithms can be combined to form a simple leap and bound technique for finding the best subsets without examining all possible subsets. The result is a reduction of several orders of magnitude in the number of operations required to find the best subsets.