Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation
Many process characteristics follow an exponential distribution, and control charts based on such a distribution have attracted a lot of attention. However, traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing powe...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2000
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soe_research/253 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | Many process characteristics follow an exponential distribution, and control charts based on such a distribution have attracted a lot of attention. However, traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing power transformation is studied. |
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