Estimating tree diameter class frequencies

The problem of estimating stand tables in stands with few sample points is considered. The usual point sampling estimate of trees per hectare by diameter class is examined, along with two alternative estimators: a precision-weighted composite estimator and a pseudo-Bayes estimator. Stand tables are estimated for a subject stand with each of the three estimators in a simulation experiment. Both the composite and pseudo-Bayes estimator appear superior (in terms of average absolute error and mean squared error) to the usual estimator, although they do introduce a slight bias. The pseudo-Bayes estimator appears to perform the best. This estimator is also easier to use than the composite estimator because it does not require variance estimates.