A new KAUST-developed workflow helps researchers efficiently test and validate the assumptions underlying complex statistical models to ensure more reliable results.

Current approaches to reconstructing past climate by using tree-ring data need to be improved on so that they can better take uncertainty into account, new research suggests.Tree growth rings are ...

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. T-tests are ...

In recent years a popular nonparametric model for coarsened data is an assumption on the coarsening mechanism called coarsening at random (CAR). It has been conjectured in several papers that this ...

Common statistical models include regression, time series, and risk assessment tools. Effective use depends on accurate data and assumptions, minimizing bias. Kristi Waterworth has been a contributing ...

A new model to analyse infectious disease outbreak data has been developed by mathematicians that could be used to improve disease tracking and control. A new model to analyse infectious disease ...