The issue of forming a composition of estimators, which can be forecast from quantitative predictive models or expert opinions, is discussed and a case made for linear combinations. Two methods are presented, one aimed at an optimal, minimum variance composition; and the other, at utilizing linear weights with a directly meaningful probabilistic interpretation. Bayesian estimation methods are used in both cases. © 1979.
Bunn, D. W. (1979). Composition of estimators for decision making. Technological Forecasting and Social Change, 13(2), 157–167. https://doi.org/10.1016/0040-1625(79)90110-0