A new method for estimating confidence intervals for parameters of the J-M model was developed using Bayes statistics. By applying Bayes theorem, researchers obtained precise and stable interval estimations for the model's parameters. Comparing three different methods, the one based on Bayes theorem showed the best accuracy and applicability when tested on various failure data sets.