We propose procedures for testing statistically the significance of violations of nonparametric tests of optimization axioms when observed behavior is measured with error. The tests are robust against parametric specification of the error distribution, thus are nonparametric in both the statistical and economic senses, and are readily implemented numerically. An illustration with demand data is presented.