A powerful tool, that is used in many fields of science is the Monte Carlo simulation. ITC and NMR titration apart from confidence calculation. The application to calculate confidence intervals has been reported for titration experiments by Thordarson and in general by Motulsky and Christopoulos. The confidence intervals from Monte Carlo simulations are obtained using the percentile method, which has been discussed alongside with resampling methods by Efron. Efron noted, that the section dealing with confidence intervals "is highly speculative in content." The basic idea of the Monte Carlo approach is to theoretically repeat the performed experiment several times (T ). A single theoretic step is being realised by adding a random error ε i to y calc,i and then obtain a new set of data mimicking the original experimental data including realistic errors. These data can be used to estimate a new set θ . Performing these steps T times is denoted as Monte Carlo (MC) simulation within this context.