Measurement error arises when the observed data deviate from true values due to inaccuracies in measurement processes, potentially leading to biased estimates and ...

We consider quasilikelihood models when some of the predictors are measured with error. In many cases, the true but fallible predictor is impossible to measure, and ...

The linear model with classical measurement error is an alternative to the standard regression model, in which it is assumed that the independent variables are ...

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...

In order to measure the mechanical properties of materials in compression, tension, bending or torsion, a universal testing machine is utilized. This article outlines the two different types ...