Predicting the future is extremely difficult 1, yet it is nonsensical to ignore the knowledge and understanding we can acquire from experts when making decisions. It is well understood that using ...

Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...

How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

Extreme weather can have negative, minimal, or even positive effects on business performance—creating significant uncertainty about outcomes for those businesses. Financial markets show heightened ...

J.B. Maverick is an active trader, commodity futures broker, and stock market analyst 17+ years of experience, in addition to 10+ years of experience as a finance writer and book editor. Dr. JeFreda R ...