. Specifically, we construct a lower bound on the size of approximation errors. A small lower bound on errors is a necessary … condition for accuracy: If a lower error bound is unacceptably large, then the actual approximation errors are even larger, and … hypothesis testing in statistics. As an illustration of our methodology, we assess approximation errors in the first- and second …

This paper suggests a method for determining rigorous upper bounds on approximation errors of numerical solutions to …

This paper approximation errors are introduced in a Luca (1978)-type model to reflect model uncertainty. The purpose is … approximation errors and the descriptive and normative properties are greatly improved. This suggest that investors do not and … should not ignore approximation errors. …