Absolute error shows how far a measurement is from the true value, essential for accuracy in science, engineering, and daily life.

1. Introduction Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which ...

binet-error-comparison Checking absolute error, relative error, and bit loss that concerns approximate binet calculations ...

Multiplicative regression model or accelerated failure time model, which becomes linear regression model after logarithmic transformation, is useful in analyzing data with positive responses, such as ...

If you predict a stock's value to be $100, whether it becomes $105 or $95, you were "off by $5" either way. Relative error ...

In this paper, we propose a novel approximate adder that exploits the generate signals for carry speculation. Furthermore, we introduce a very low-cost error reduction module to effectively control ...