An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to

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Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning