A simulation study on some parametric confidence intervals for the difference of means of two skewed populations

Skewed data are common in the Biosciences and in life testing modeling. In this paper, we evaluate several existing techniques and propose some new techniques for estimating the differences of means of two skewed populations. A simulation study has been made to compare the performance of the selected intervals and a real life example has been considered to illustrate the applications of the techniques. We believe the findings of this paper will be helpful for different health researchers those are interested to choose the proper techniques for estimating the differences of means for two skewed populations.