S@R
S@R develops models for support of decision making under uncertainty.
Taking advantage of recognized financial and economic theory, we customize simulation models to fit specific industries, situations and needs.
The Estimated Project Cost Distributions and the Final Project Cost
The growing use of Cost Risk Assessment models in public projects has raised some public concerns about its costs and the models ability to reduce cost overruns and correctly predict the projects final cost. We have in this article shown that the models are neither reliable nor valid, by calculating the probabilities of the projects final costs.
The implementation of the Norwegian Governmental Project Risk Assessment scheme
Based on these findings it is pertinent to ask what went wrong in the implementation of QA2. The idea is sound, but the result is somewhat disappointing.
Project Management under Uncertainty
The objectives of the project scheduling are to determine the earliest start and finish of each task in the project.
The aim is to be able to complete the project as early as possible and to calculate the likelihood that the project will be completed within a certain time frame.
The role of events in simulation modeling
The need for assessing the impact of events with binary outcomes, like loan defaults, occurrence of recessions, etc. arises often in economics and other areas of decision making.
The Most Costly Excel Error Ever?
Efficient computing tools are essential for statistical research, consulting, and teaching. Generic packages such as Excel are not sufficient even for the teaching of statistics, let alone for research and consulting