Confidence intervals are one of the most important topics in mathematical statistics which are related to statistical
hypothesis tests. In a confidence interval, the aim is that to find a random interval that coverage the unknown parameter
with high probability. Confidence intervals and its different forms have been extensively discussed in standard
statistical books. Since the most of statistical distributions have more than one parameter, so joint confidence regions
are more important than confidence intervals. In this paper, we discuss joint confidence regions. Some examples
are given for illustration purposes.