MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Process capability indices (PCIs) have long served as crucial metrics in assessing the performance and quality of manufacturing processes. Recent advances in statistical estimation techniques have not ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Please provide your email address to receive an email when new articles are posted on . Statistical risk estimate is more effective than a physician’s subjective assessment for the prediction of short ...

The Annals of Statistics, Vol. 23, No. 5 (Oct., 1995), pp. 1562-1581 (20 pages) The parametric statistical models with suitable regularity conditions have a natural Riemannian manifold structure, ...

ABSTRACT The International Electrotechnical Commission (IEC) design standard (IEC 61400-3) for offshore wind turbines includes a design load case which considers loads on the turbine during extreme ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...