Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...

This paper proposes a new approach to modeling heteroskedasticity which enables the modeler to utilize information conveyed by data plots in making informed decisions on the form and structure of ...

The usual approach to handling missing data in a regression is to assume that the points are missing at random (MAR) and use either a fill-in method to replace the missing points or a method using ...