Abstract
The implementation of the Bayesian approach as an alternative to least squares nonlinear regression is presented. Special attention is given to the numerical evaluation of multiple integrals and to the behaviour of the parameter estimators end their estimated covariances. The Bayesian approach is evaluated in the light of practical as well as theoretical considerations.