Joint Confidence Regions
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Abstract:
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.
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Journal title
volume 20 issue 1
pages 11- 19
publication date 2015-04
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