Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
The choice of error model used for robustness evaluation of Operating Systems (OSs) influences the evaluation run time, implementation complexity, as well as the evaluation preci...
We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
Task time is a measure of productivity in an interface. Keystroke Level Modeling (KLM) can predict experienced user task time to within 10 to 30% of actual times. One of the bigges...
Let 2 be the unknown error variance of a linear model and let ^2 be the estimator of 2 based on the residual sum of squares. In this work, we show the precise asymptotics in the l...