Hertel, Ida; Kohler, Michael - In: Computational Statistics & Data Analysis 59 (2013) C, pp. 1-12
A Monte Carlo method for estimation of the optimal design of a nonlinear parametric regression problem is presented. The basic idea is to use Monte Carlo to produce values of the error of a parametric regression estimate for randomly chosen designs and randomly chosen parameters; then, using...
