In applied statistics, the Morris method for global sensitivity analysis is a so-called one-step-at-a-time method, meaning that in each run only one input parameter is given a new value. It facilitates a global sensitivity analysis by making a number r of local changes at different points x (1 → r) of the possible range of input values.