A course with multiple distributional designations, once applied toward one distributional requirement, may subsequently be applied toward a different distributional requirement.
Multiple distributional designations Although some courses may carry more than one distributional designation, a single course may be applied to only one distributional requirement.
In the proposed approach, the decision maker forms a belief about possible demand distributions, and dynamically updates it over time using the available data and the partial distributional information.
First, the proposed stochastic control approach optimally shifts energy over time and space (via physical transmission lines) by fully utilizing the distributional information of uncertain net demand.
We consider a repeated newsvendor setting, and propose a maximum-entropy based technique, termed Second Order Belief Maximum Entropy (SOBME), which allows the manager to effectively combine demand observations with distributional information in the form of bounds on the moments or tails.
It would not be surprising, however, if something as transformative as the internet economy provoked a demand for institutional change to mitigate distributional consequences.
Although world food production is likely to increase at a rate that keeps up with population growth, greater demand in China as well as distributional issues will keep significant numbers of people malnourished.
More sophisticated likelihood-based methods - such as 'REML' [ 20], or Bayesian methods using MCMC [ 21] - may be preferred, but are more computationally demanding to calculate and also impose distributional assumptions on the random effects.
This evidence suggests that incorporating the demand-side is essential to analyzing the distributional consequences of local and aggregate shocks across regions.
Thus, distributional bounds are necessary and the distributional assumptions need to be stated.
