Minimum-area confidence sets for a normal distribution.
When making inference on a normal distribution, one often seeks either a joint confidence region for the two parameters or a confidence band for the cumulative distribution function. A number of methods for constructing such confidence sets are available, but none of these methods guarantees a minimum-area confidence set. In this paper, we derive both a minimum- area joint confidence region for the two parameters and a minimum-area confidence band for the cumulative distribution function. The minimum-area joint confidence region is asymptoti- cally equivalent to other confidence regions in the literature, but the minimum-area confidence band improves on existing confidence bands even asymptotically.
Main Author: | Frey, Jesse. |
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Other Authors: | Marrero, Osvaldo., Norton, Douglas. |
Format: | |
Language: | English |
Published: |
2008
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Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176370 |