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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wu, Shu Fei Lu, Jin Yang |
| Copyright Year | 2017 |
| Abstract | Process capability indices had been widely used to evaluate the process performance to the continuous improvement of quality and productivity. When the lifetime of products possesses a one-parameter Pareto distribution, the larger-the-better lifetime performance index is considered. The maximum likelihood estimator is used to estimate the lifetime performance index based on the progressive type I interval censored sample. The asymptotic distribution of this estimator is also investigated. We use this estimator to develop the new hypothesis testing algorithmic procedure in the condition of known lower specification limit. Finally, two practical examples are given to illustrate the use of this testing algorithmic procedure to determine whether the process is capable. |
| Starting Page | 647 |
| Ending Page | 666 |
| Page Count | 20 |
| File Format | |
| ISSN | 09434062 |
| Journal | Computational Statistics |
| Volume Number | 32 |
| Issue Number | 2 |
| e-ISSN | 16139658 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2017-03-09 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Progressive type I interval censored sample Pareto distribution Maximum likelihood estimator Process capability indices Statistics Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty Computational Mathematics |
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