Engage students remotely or in the lab with advanced data analysis and take advantage of the special introductory site license price of $69 Expanding upon its award-winning Vernier Graphical Analysis™ ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Learn to address the likelihood of structural failure. Perform risk analysis associated with environmental loads to structures under static and dynamic loadings. Master the basics of performance-based ...

Expanding upon its award-winning Vernier Graphical Analysis™ app, Vernier Software & Technology is launching the Vernier Graphical Analysis Pro app to engage students—either remotely or in the lab—in ...

Measures of the quality of prediction at locations on the surface of a hypersphere are presented. These measures are used to form a graphical method of assessing the overall prediction capability of ...

FOR the rapid calculation of bearing loads in aircraft engines the authors have developed an analytical method that is described for the first time in the paper. This was derived from the long tedious ...

For planning studies that consider risk and reliability, it is useful to run ensembles of hydrologic inputs and perform statistical analysis on the results to get probabilistic output, much like a ...