ABSTRACT
Besides the basic estimation algorithm, one should be aware of several details that should be taken care of for a successful and meaningful estimation of unknown parameters. Items such as quality of the data at hand (detection of outliers), generation of initial guesses, overstepping and potential remedies to overcome possible ill-conditioning of the problem are discussed in the following sections. Particular emphasis is given to implementation guidelines for differential equation models. Finally, we touch upon the problem of autocorrelation.
