Analytic decision rules and horizon rules are developed for the warehousing problem. A stochastic warehousing problem is defined and solved, first by backwards induction, then by means of a forward working algorithm. The influence of holding costs and discount rates on forecasting horizons is illustrated.
MLA
Charnes, Abraham, et al. “Decision and Horizon Rules for Stochastic Planning Problems: A Linear Example.” Econometrica, vol. 34, .no 2, Econometric Society, 1966, pp. 307-330, https://www.jstor.org/stable/1909935
Chicago
Charnes, Abraham, Jacques Dreze, and Merton Miller. “Decision and Horizon Rules for Stochastic Planning Problems: A Linear Example.” Econometrica, 34, .no 2, (Econometric Society: 1966), 307-330. https://www.jstor.org/stable/1909935
APA
Charnes, A., Dreze, J., & Miller, M. (1966). Decision and Horizon Rules for Stochastic Planning Problems: A Linear Example. Econometrica, 34(2), 307-330. https://www.jstor.org/stable/1909935
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
By clicking the "Accept" button or continuing to browse our site, you agree to first-party and session-only cookies being stored on your device. Cookies are used to optimize your experience and anonymously analyze website performance and traffic.